Full Text
Full Text
Master of Philosophy
2015
CONTENTS
CONTENTS 2
LIST OF ABBREVIATIONS 24
LIST OF SYMBOLS 25
ABSTRACT 28
DEDICATION 29
DECLARATION 30
COPYRIGHT STATEMENT 31
ACKNOWLEDGEMENT 32
CHAPTER 1 INTRODUCTION 33
1.1 Background 33
1.2 Problem statement 33
1.3 Aim and objectives 35
1.4 Scope of the study 36
3.1 Materials 60
3.2.3 Compaction 67
4.4.1 Compaction curves using variation of dry density and water content 95
4.4.2 Compaction curves using variation of dry density and total fluid content 101
4.4.3 Compaction curves from variation of dry density and total fluid content
4.7 Plasticity characteristics and hydraulic conductivity of oil contaminated soil 113
4.8 Compaction characteristics and hydraulic conductivity of oil contaminated soil 117
REFERENCES 123
6
B1.3 Atterberg limits data for soil 1 (0.0% oil content) 156
B1.4 Atterberg limits data for soil 1 (1.8% oil content) 157
B1.5 Atterberg limits data for soil 1 (3.5% oil content) 158
B1.6 Atterberg limits data for soil 1 (5.3% oil content) 159
B1.7 Atterberg limits data for soil 1 (7.1% oil content) 160
B1.8 Atterberg limits data for soil 2 (0.0% oil content) 161
B1.9 Atterberg limits data for soil 2 (1.8% oil content) 162
B1.10 Atterberg limits data for soil 2 (3.5% oil content) 163
B1.11 Atterberg limits data for soil 2 (5.3% oil content) 164
8
B1.12 Atterberg limits data for soil 2 (7.1% oil content) 165
B1.13 Atterberg limits data for soil 3 (0.0% oil content) 166
B1.14 Atterberg limits data for soil 3 (1.8% oil content) 167
B1.15 Atterberg limits data for soil 3 (3.5% oil content) 168
B1.16 Atterberg limits data for soil 3 (5.3% oil content) 169
B1.17 Atterberg limits data for soil 3 (7.1% oil content) 170
B1.18 Atterberg limits data for soil 4 (0.0% oil content) 171
B1.19 Atterberg limits data for soil 4 (1.8% oil content) 172
B1.20 Atterberg limits data for soil 4 (3.5% oil content) 173
B1.21 Atterberg limits data for soil 4 (5.3% oil content) 174
B1.22 Atterberg limits data for soil 4 (7.1% oil content) 175
B1.23 Atterberg limits data for soil 5 (0.0% oil content) 176
B1.24 Atterberg limits data for soil 5 (1.8% oil content) 177
B1.25 Atterberg limits data for soil 5 (3.5% oil content) 178
B1.26 Atterberg limits data for soil 5 (5.3% oil content) 179
B1.27 Atterberg limits data for soil 5 (7.1% oil content) 180
SOIL. 210
APPENDIX G COMPACTION CHARACTERISTICS AND
HYDRAULIC CONDUCTIVITY OF CONTAMINATED
SOIL 212
LIST OF TABLES
Table 2.1: Properties of clay, before and after contamination (Rehman et al, 2007) 41
Table 2.3: Summary of Maximum dry density and optimum water content of soils 55
Table 3.1: Mineralogical content of Wyoming bentonite and China clay kaolinite
(MSDS, 2011; WMA, 2013) 61
Table 3.2: Characteristics of high viscosity Shell Tellus oil 68 (MSDS, 2006) 62
Table 3.3: Soil mixtures with different oil content chosen for the present study 63
Table 3.5: Comparison of known water added to contaminated soil and measured
Table 3.6: Quantity of flow, Q interval (ml) in 5 mins for uncontaminated soil 83
Table 4.1: Liquid limit and plastic limit of soil minerals and clay soils of study 91
10
Table A5.1: Aggregate size distribution data for soil 1 (0.0% oil content) 139
Table A5.2: Aggregate size distribution data for soil 1 (1.8% oil content) 139
Table A5.3: Aggregate size distribution data for soil 1 (3.5% oil content) 140
Table A5.4: Aggregate size distribution data for soil 1 (5.3% oil content) 140
Table A5.5: Aggregate size distribution data for soil 1 (7.1% oil content) 141`
Table A5.6: Aggregate size distribution data for soil 2 (0.0% oil content) 141
Table A5.7: Aggregate size distribution data for soil 2 (1.8% oil content) 142
Table A5.8: Aggregate size distribution data for soil 2 (3.5% oil content) 142
Table A5.9: Aggregate size distribution data for soil 2 (5.3% oil content) 143
Table A5.10: Aggregate size distribution data for soil 2 (7.1% oil content) 143
11
Table A5.11: Aggregate size distribution data for soil 3 (0.0% oil content) 144
Table A5.12: Aggregate size distribution data for soil 3 (1.8% oil content) 144
Table A5.13: Aggregate size distribution data for soil 3 (3.5% oil content) 145
Table A5.14: Aggregate size distribution data for soil 3 (5.3% oil content) 145
Table A5.15: Aggregate size distribution data for soil 3 (7.1% oil content) 146
Table A5.16: Aggregate size distribution data for soil 4 (0.0% oil content) 146
Table A5.17: Aggregate size distribution data for soil 4 (1.8% oil content) 147
Table A5.18: Aggregate size distribution data for soil 4 (3.5% oil content) 147
Table A5.19: Aggregate size distribution data for soil 4 (5.3% oil content) 148
Table A5.20: Aggregate size distribution data for soil 4 (7.1% oil content) 148
Table A5.21: Aggregate size distribution data for soil 5 (0.0% oil content) 149
Table A5.22 Aggregate size distribution data for soil 5 (1.8% oil content) 149
Table A5.23: Aggregate size distribution data for soil 5 (3.5% oil content) 150
Table A5.24: Aggregate size distribution data for soil 5 (5.3% oil content) 150
Table A5.25: Aggregate size distribution data for soil 5 (7.1% oil content) 151
Table A6.1: Percentage of mass of soil retained on sieves for soil 1 152
Table A6.2: Percentage of mass of soil retained on sieves for soil 2 152
Table A6.3: Percentage of mass of soil retained on sieves for soil 3 152
12
Table A6.4: Percentage of mass of soil retained on sieves for soil 4 152
Table A6.5: Percentage of mass of soil retained on sieves for soil 5 153
Table B1.5: Liquid limit data for soil 1(0.0% oil content) 156
Table B1.6: Plastic limit data for soil (0.0% oil content). 156
Table B1.7: Liquid limit data for soil 1(1.8% oil content) 157
Table B1.8: Plastic limit data for soil (1.8% oil content) 157
Table B1.9: Liquid limit data for soil 1(3.5% oil content) 158
Table B1.10: Plastic limit data for soil (3.5% oil content) 158
Table B1.11: Liquid limit data for soil 1 (5.3% oil content) 159
Table B1.12: Plastic limit data for soil (5.3% oil content) 159
Table B1.13: Liquid limit data for soil 1 (7.1% oil content) 160
Table B1.14: Plastic limit data for soil 1 (7.1% oil content) 160
Table B1.15: Liquid limit data for soil 2 (0.0% oil content) 161
13
Table B1.16: Plastic limit data for soil 2 (0.0% oil content) 161
Table B1.17: Liquid limit data for soil 2 (1.8% oil content) 162
Table B1.18: Plastic limit data for soil 2 (1.8% oil content) 162
Table B1.19: Liquid limit data for soil 2 (3.5% oil content) 163
Table B1.20: Plastic limit data for soil 2 (3.5% oil content) 163
Table B1.21: Liquid limit data for soil 2 (5.3% oil content) 164
Table B1.22: Plastic limit data for soil 2 (5.3% oil content) 164
Table B1.23: Liquid limit data for soil 2 (7.1% oil content) 165
Table B1.24: Plastic limit data for soil 2 (7.1% oil content) 165
Table B1.25: Liquid limit data for soil 3 (0.0% oil content) 166
Table B1.26: Plastic limit data for soil 3 (0.0% oil content) 166
Table B1.27: Liquid limit data for soil 3 (1.8% oil content 167
Table B1.28: Plastic limit data for soil 3 (1.8% oil content) 167
Table B1.29: Liquid limit data for soil 3 (3.5% oil content) 168
Table B1.30: Plastic limit data for soil 3 (3.5% oil content) 168
Table B1.31: Liquid limit data for soil 3 (5.3% oil content) 169
Table B1.32: Plastic limit data for soil 3 (5.3% oil content) 169
Table B1.33: Liquid limit data for soil 3 (7.1% oil content) 170
14
Table B1.34: Plastic limit data for soil 3 (7.1% oil content) 170
Table B1.35: Liquid limit data for soil 4 (0.0% oil content) 171
Table B1.36: Plastic limit data for soil 4 (0.0% oil content) 171
Table B1.37: Liquid limit data for soil 4 (1.8% oil content) 172
Table B1.38: Plastic limit data for soil 4 (1.8% oil content) 172
Table B1.39: Liquid limit data for soil 4 (3.5% oil content) 173
Table B1.40: Plastic limit data for soil 4 (3.5% oil content) 173
Table B1.41: Liquid limit data for soil 4 (5.3% oil content) 174
Table B1.42: Plastic limit data for soil 4 (5.3% oil content) 174
Table B1.43: Liquid limit data for soil 4 (7.1% oil content) 175
Table B1.44: Plastic limit data for soil 4 (7.1% oil content) 175
Table B1.45: Liquid limit data for soil 5 (0.0% oil content 176
Table B1.46: Plastic limit data for soil 5 (0.0% oil content) 176
Table B1.47: Liquid limit data for soil 5 (1.8% oil content) 177
Table B1.48: Plastic limit data for soil 5 (1.8% oil content) 177
Table B1.49: Liquid limit data for soil 5 (3.5% oil content) 178
Table B1.50: Plastic limit data for soil 5 (3.5% oil content) 178
Table B1.51: Liquid limit data for soil 5 (5.3% oil content) 179
15
Table B1.52: Plastic limit data for soil 5 (5.3% oil content) 179
Table B1.53: Liquid limit data for soil 5 (7.1% oil content) 180
Table B1.54: Plastic limit data for soil 5 (7.1% oil content) 180
Table B2.6 Oil loss (g) per mass of oil (g), in percentage 182
Table B4: Total fluid content at Atterberg limits and plasticity of soils 184
Table C1.1: Compaction data for soil 1 (0.0% oil content) 185
Table C1.2: Compaction data for soil 1 (1.8% oil content) 185
Table C1.3: Compaction data for soil 1 (3.5% oil content) 185
Table C1.4: Compaction data for soil 1 (5.3% oil content) 186
Table C1.5: Compaction data for soil 1 (7.1% oil content) 186
Table C1.6: Compaction data for soil 2 (0.0% oil content) 187
Table C1.7: Compaction data for soil 2 (1.8% oil content) 187
16
Table C1.8: Compaction data for soil 2 (3.5% oil content) 187
Table C1.9: Compaction data for soil 2 (5.3% oil content) 188
Table C1.10: Compaction data for soil 2 (7.1% oil content) 188
Table C1.11: Compaction data for soil 3 (0.0% oil content) 189
Table C1.12: Compaction data for soil 3 (1.8% oil content) 189
Table C1.13: Compaction data for soil 3 (3.5% oil content) 189
Table C1.14: Compaction data for soil 3 (5.3% oil content) 190
Table C1.15: Compaction data for soil 3 (7.1% oil content) 190
Table C1.16: Compaction data for soil 4 (0.0% oil content) 191
Table C1.17: Compaction data for soil 4 (1.8% oil content) 191
Table C1.18: Compaction data for soil 4 (3.5% oil content) 191
Table C1.19: Compaction data for soil 4 (5.3% oil content) 192
Table C1.20: Compaction data for soil 4 (7.1% oil content) 192
Table C1.21: Compaction data for soil 5 (0.0% oil content) 193
Table C1.22: Compaction data for soil 5 (1.8% oil content) 193
Table C1.23: Compaction data for soil 5 (3.5% oil content) 193
Table C1.24: Compaction data for soil 5 (5.3% oil content) 194
Table C1.25: Compaction data for soil 5 (7.1% oil content) 194
17
Table C2: Variation of maximum dry density with optimum water content of soils 195
Table C3: Variation of maximum dry density with optimum total fluid content
of soils 195
Table C4: Variation of maximum dry density with optimum water content of soils
Table C5: Variation of maximum dry density with optimum total fluid content of soils
Table E1.1: Quantity of flow, Q (ml) in 5 mins for soil 1 (0.0% oil content) 200
Table E1.2: Quantity of flow, Q (ml) in 5 mins for soil 1 (1.8% oil content) 200
Table E1.3: Quantity of flow, Q (ml) in 5 mins for soil 1 (3.5% oil content) 200
Table E1.4: Quantity of flow, Q (ml) in 5 mins for soil 1 (5.3% oil content) 201
Table E1.5: Quantity of flow, Q (ml) in 10 mins for soil 1 (7.1% oil content) 201
Table E1.6: Quantity of flow, Q (ml) in 5 mins for soil 2 (0.0% oil content) 202
Table E1.7: Quantity of flow, Q (ml) in 5 mins for soil 2 (1.8% oil content) 202
18
Table E1.8: Quantity of flow, Q (ml) in 5 mins for soil 2 (3.5% oil content) 202
Table E1.9: Quantity of flow, Q (ml) in 5 mins for soil 2 (5.3% oil content) 203
Table E1.10: Quantity of flow, Q (ml) in 10 mins for soil 2 (7.1% oil content) 203
Table E1.11: Quantity of flow, Q (ml) in 5 mins for soil 3 (0.0% oil content) 204
Table E1.12: Quantity of flow, Q (ml) in 5 mins for soil 3 (1.8% oil content) 204
Table E1.13: Quantity of flow, Q (ml) in 5 mins for soil 3 (3.5% oil content) 204
Table E1.14: Quantity of flow, Q (ml) in 5 mins for soil 3 (5.3% oil content) 205
Table E1.15: Quantity of flow, Q (ml) in 10 mins for soil 3 (7.1% oil content) 205
Table E1.16: Quantity of flow, Q (ml) in 5 mins for soil 4 (0.0% oil content) 206
Table E1.17: Quantity of flow, Q (ml) in 5 mins for soil 4 (1.8% oil content) 206
Table E1.18: Quantity of flow, Q (ml) in 5 mins for soil 4 (3.5% oil content) 206
Table E1.19: Quantity of flow, Q (ml) in 10 mins for soil 4 (5.3% oil content) 207
Table E1.20: Quantity of flow, Q (ml) in 10 mins for soil 4 (7.1% oil content) 207
Table E1.21: Quantity of flow, Q (ml) in 5 mins for soil 5 (0.0% oil content) 208
Table E1.22: Quantity of flow, Q (ml) in 5 mins for soil 5 (1.8% oil content) 208
Table E1.23: Quantity of flow, Q (ml) in 10 mins for soil 5 (3.5% oil content) 208
Table E1.24: Quantity of flow, Q (ml) in 10 mins for soil 5 (5.3% oil content) 209
Table E1.25: Quantity of flow, Q (ml) in 20 mins for soil 5 (7.1% oil content) 209
19
LIST OF FIGURES
Figure 2.2: Atterberg limits of low plasticity contaminated clay (Khosravi et al,
2013) 42
Figure 2.3: Atterberg limits for contaminated basaltic grade V soil (Rahman et al,
2010) 43
20
Figure 2.4: Atterberg limits for contaminated basaltic grade VI soil (Rahman et al,
2010) 43
Figure 2.5: Atterberg limits for contaminated granitic sandy loam soils (Rahman et al,
2011) 45
al, 2011) 45
Figure 2.7: Variation of plasticity index with oil content (Ijimdiya, 2012) 46
Figure 2.8: Dry density and water content for contaminated and uncontaminated high
Figure 2.9: Oil lubricating high plasticity clay (Rehman et al, 2007) 48
Figure 2.10: Compaction curve for metasedimentary soils (Rahman et al, 2011) 49
Figure 2.11: Compaction curves for poorly graded sand (Al Sanad et al, 1995) 50
2007) 51
Figure 2.13: Compaction curves for sand with 5 to 15% silt (Khamehchiyan et al,
2007) 51
Figure 2.14: Compaction curves for low plasticity clay (Khamehchiyan et al, 2007) 51
Figure 2.15: Compaction curves for grade V basaltic soils (Rahman et al, 2010) 53
Figure 2.16: Compaction curves for grade VI basaltic soil (Rahman et al, 2010) 53
Figure 2.17: Compaction curve for granitic sandy loam soil (Rahman et al, 2011) 54
21
Figure 2.18: Hydraulic conductivity of poorly graded sand (Shin and Das, 2000) 56
Figure 2.19: Variation of hydraulic conductivity with oil contents in sand with
5 to 15% silt, low plasticity silt and low plasticity clay (Rojas et al,
2003) 57
Figure 2.20: Variation of hydraulic conductivity with oil palm biodiesel content
and sand 64
soil 1 72
Figure 3.7: Hydraulic conductivity test set up – Rowe cell (vertical flow) 81
Figure 4.2: Soil clods on (a ) 2mm sieve (b) 0.425mm sieve for soil 1 (7.1% oil
content) 88
Figure 4.5: Total fluid content at Atterberg limits and plasticity index of soils 92
22
Figure 4.7: Variation of dry density with total fluid content for metasedimentary
soils (Rahman et al, 2011) 102
Figure 4.8: Variation of dry density with total fluid content for poorly graded sand
(Al Sanad et al, 1995) 105
Figure 4.9: Variation of dry density with total fluid content for poorly graded sand
(Khamehchiyan et al , 2007) 105
Figure 4.10: Variation of dry density with total fluid content for sand with 5 to 15%
silt (Khamehchiyan et al , 2007) 106
Figure 4.11: Variation of dry density with total fluid content for low plasticity clay
(Khamehchiyan et al , 2007) 106
Figure 4.12: Variation of dry density with total fluid content for basaltic grade V
Figure 4.13: Variation of dry density with total fluid content for basaltic grade VI
Figure 4.14: Variation of dry density with total fluid content for granitic sandy
Figure 4.15: Variation of maximum dry density with optimum water content,
soils 111
23
soils 116
Figure A1: Coefficient of uniformity and coefficient of curvature for sand 132
LIST OF ABBREVIATIONS
GM Grading Modulus
25
SM Silty Sand
LIST OF SYMBOLS
Cc Coefficient of Curvature
Cu Coefficient of Uniformity
Gs Specific Gravity
t time (mins)
V Volume of Mould
Greek symbols
ABSTRACT
This research investigated the effect of oil contamination on grading modulus, Atterberg
limits, compaction, and hydraulic conductivity of bentonite-kaolinite-sand mixtures. An
area that lacked experimental data was chosen for the research. Data on oil
contaminated soil containing montmorillionte were scarce; hence, bentonite-kaolinite-
sand mixtures at oil contents of 0.0, 1.8, 3.5, 5.3 and 7.1% by dry mass of the soil were
used for the study.
The first aspect of the study was the use of grading modulus to confirm reduction of
fine aggregate in the contaminated soils. Atterberg limits tests were performed to
determine the liquid and plastic limits of uncontaminated and contaminated soils.
Proctor compaction tests were performed to determine the compaction characteristics of
the oil contaminated soils. Hydraulic conductivity tests were performed using a Rowe
cell. Aggregate size distribution analysis of the oil contaminated soil mixtures showed
that the aggregate size distribution curves shifted from finer to coarser as the oil content
increased, indicating that oil contamination caused reduction of fine aggregate in the
soil while forming soil clods. The Atterberg limits tests showed that the liquid limit and
plastic limit increased as oil contamination increased in the soil mixtures. The plasticity
index of the soils also increased as oil contamination increased. It was deduced from the
research that soils 1 and 2 had plasticity index below 65%, those of soils 3, 4 and 5 were
above 65%. However, soil 3 had plasticity index close to 65. The results of the
compaction tests with respect to maximum dry density and optimum water content
showed that oil contamination resulted in decreased maximum dry density and optimum
water content in the five soils. The hydraulic conductivity of soil mixtures decreased as
oil contamination increased. Generally, soils 3, 4 and 5 had hydraulic conductivities that
were close to 1 x 10-9m/s. Soil 3 had plasticity index close to 65% and hydraulic
conductivity less than 1 x 10-9m/s, hence, it is suitable as soil liner for landfill.
However, soils with plasticity index above 65% are difficult to handle.
29
DEDICATION
This research work is dedicated to all those who spend hours carrying out research in
DECLARATION
I hereby declare that this dissertation is an original research and was never submitted to
another university or this university. This dissertation was entirely carried out by me,
----------------------------------
Miebaka Ransome Daka
31
COPYRIGHT STATEMENT
i. The author of this thesis (including any appendices and/ or schedules to this thesis)
owns certain copyright or related rights in it (the “Copyright”) and he has given The
University of Manchester certain rights to use such Copyright, including for
administrative purposes.
ii. Copies of this thesis, either in full or in extracts and whether in hand or electronic
copy, may be made only in accordance with the Copyright, Designs and Patents Act
1988 (as amended) and regulations issued under it or, where appropriate, in
accordance with licensing agreements which the University has from time to time.
This page must form part of any such copies made.
iii. The ownership of certain Copyright, patents, designs, trade marks and other
intellectual property (the “Intellectual Property”) and any reproductions of copyright
works in the thesis, for example graphs and tables (“Reproductions”), which may be
described in this thesis, may not be owned by the author and may be owned by third
parties. Such Intellectual Property and Reproductions cannot and must not be made
available for use without the prior written permission of the owner(s) of the relevant
Intellectual Property and/or Reproductions.
iv. Further information on the conditions under which disclosure, publication and
commercialisation of this thesis, the Copyright and any Intellectual Property and/or
Reproductions described in it may take place is available in the University IP policy
(http://documents.manchester.ac.uk/DocuInfo.aspx?DocID=487), in any relevant
Thesis restriction declarations deposited in the University Library, The University
Library’s regulations (http://www.manchester.ac.uk/library/aboutus/regulations) and
in The University’s policy on Presentation of Theses.
32
ACKNOWLEDGEMENT
I express my thanks to Dr. Syed Mohd Ahmad, Dr Rob Young, and Dr Hossam Abuel
Naga for their contributions that made this research work a success.
I am grateful to the Rivers State Sustainable Development Agency for sponsoring this
study.
I am also grateful to Prof. Ayotamuno Miebaka Josiah, Prof. Daka Erema, Associate
Prof. A. J. Akor, Engineer Daka Otonye and Mrs Gladys Miebaka Daka for their
support.
I am grateful to all staff in the School of Mechanical, Aerospace and Civil Engineering
CHAPTER 1
INTRODUCTION
This section contains the background of the main problem the research work sought to
address, the aim, objectives, scope of research work and structure of thesis.
1.1 Background
product, and natural disasters. Singh et al (2008) stated that when oil is released, it
resides in the soil system, in the pore space of the soil, modifying the behaviour of the
soil. Crude oil was released into the soil when storage tanks and well heads were
destroyed in Kuwait during the gulf war of August 2, 1990 to February 28, 1991 (Al-
Sanad et al, 1995; Rehman et al, 2007). Despite the good oil tanker maintenance
culture, oil leaked from storage tanks and polluted the soil in the United States of
America (Patel, 2011). Ijimdiya (2012) stated that due to oil exploration, oil was
released to the environment in the Niger Delta of Nigeria, exposing the area to
environmental degradation.
Oil leakage into soil results in contamination and there is a need for bioremediation
understanding on how the geotechnical properties of the soil are affected by the oil
contamination. Geotechnical testing of soil aids in finding an alternative usage for the
contaminated soil (Al-Duwaisan and Al-Naseem, 2011). A few studies have been
2007; Rehman et al, 2007; Rahman et al, 2010; Ijimdiya, 2012). Khamehchiyan et al
34
(2007) stated that proposals made for the use of soil with oil content included that of
using it for road base material and topping layer in car parks after mixing with
aggregates. Treatment methods for the contaminated soil included bioremediation, soil
well as the soil’s properties (Fine et al, 1997). Hence, an adequate understanding of the
Sand and clay mixtures are used as soil liners for landfill. When clay is scarce, a
mixture of sand and clay is used (Mohamedzein et al, 2003). Soil mixtures are
commonly those of sand, kaolinite and bentonite or sand and bentonite (Muntohar,
2003). When sand is mixed with natural clay and bentonite, the mixture can be used as a
are used as vertical cut-off walls for containment of movement of fluids (Evans, 1993).
Evaluation of the effect of oil on contaminated soil using crude oil or its oil product as
its representative was important as it could aid in decisions on using the material for
et al, 2003).
degrading oil in the presence of water (Kogbara, 2008). When water moves to an
initially dry contaminated soil, the rate of oil degradation by the bacteria increases as it
hydraulic conductivity of water in the oil contaminated soil, in order to suggest area of
wastes (Akgun, 2010), mine effluents (Gratchev et al, 2012), exploratory boreholes and
diversion tunnels (Pusch, 1992), waste leachates and water barrier (Chalermyanont and
Arrykul, 2005).
This research focused on investigating the geotechnical properties of soil, using low oil
content. According to Khamehchiyan et al (2007), when the oil content in soil is below
16%, oil does not drain out from soil; similarly, Erten et al (2011) stated that when oil
content in soil is low, oil would not be expelled from the soil during geotechnical tests.
Oil contamination alters the geotechnical properties of soils. There were few research
works that assessed the effect of oil contamination on geotechnical properties of soils.
The research works were mainly on soils that did not contain montmorillonite.
This research work investigated the effect of oil on soils that contained montmorillonite
swelling characteristic and this influenced the behaviour of the soil mixture distinctly
36
from those without bentonite. The bentonite-kaolinite-sand mixture was used in the
study to fill the void created by lack of data on effects of oil on soils that contain
montmorillonite.
The aim of the study was to evaluate the geotechnical properties of oil contaminated
of oil contamination on grading modulus, Atterberg limits (liquid limit and plastic
The research work was limited to the evaluation of the effect of oil contamination on
contaminated soils were grading modulus, Atterberg limits, compaction and hydraulic
conductivity.
This study evaluated both variation of maximum dry density with optimum water
content and variation of maximum dry density with optimum total fluid content 1 for the
compaction test. Previous studies did not include variation of maximum dry density
1
Total fluid content - sum of water content and oil content in the soil.
37
The oil was mixed into dry soil for all tests before addition of water. Hence, effect of oil
The liquid limit test was not carried out by adding appropriate amount of oil, rather,
appropriate amount of water was added to a soil containing a specific amount of oil.
The oil loss was considered as insignificant for the Atterberg limit tests.
Known water contents were added to the oil contaminated soil used for the compaction
test. There was no further determination of water contents by oven drying method. The
transfer of soil from the container to the mould with its extension and vice versa was
done with great care to avoid soil loss. The test was not performed by adding oil to soils
Specific gravity tests were not done for the uncontaminated and oil contaminated soils;
hence, zero air void and saturation lines were not drawn for the compaction curves in
this study. Variation of dry density with water content in g/cm3 was used for the
compaction curves for consistency and comparison with those of other researchers. The
equation for zero air void line is ɣ av = [ɣ w G s /(1 + 0.01w d G s )], with ɣ av = unit weight at
zero air voids, ɣ w = unit weight of water, G s = specific gravity of a soil and w d = water
content at a dry unit weight. This involves unit weight and results are in kN/m3. This
study and previous research works used density (g/cm3) and not dry unit weight
(kN/m3). When the acceleration due to gravity is used to multiply the density, the result
is a different value, expressed as that for force (kN) per m3 (Fratta et al, 2007).
38
Scanning Electron Microscope imaging was not performed for the uncontaminated and
The thesis introduces the topic in chapter 1 and in chapter 2 evaluates literature on
geotechnical properties of oil contaminated soil. Chapter 3 includes the materials and
procedures used for the experiment. Chapter 4 presents the experimental results and
CHAPTER 2
LITERATURE REVIEW
This literature review evaluated all aspects of literature related to this research work. It
reviewed literature on geotechnical properties of soil after contamination with crude oil
area of research.
This section reviewed literature on how geotechnical properties of soils are affected
when the soils are contaminated. The manner in which oil affects a soil would
determine the approach of handling the contaminated soil with the aim of putting it into
alternative use. Oil contamination has become a major problem, and there is clamour for
remediation of contaminated soil. Patel (2011) stated that in spite of the different
approaches to prevent oil leakage, 25% of oil petroleum associated products leak in the
United States of America alone, contaminating the soil. An understanding on how oil
affects the properties of soil is a basic step in designing an effective remediation system.
The variations in findings on effect of oil on the geotechnical properties of soil are due
to variation in oil composition and soil mineralogy (Khosravi et al, 2013). The research
Few studies are available in this area and this section reviews previous studies.
40
distribution. The soil used was reddish brown and obtained from a borrow pit at Shika,
Zaria, Nigeria. The soil had a large amount of kaolinite clay mineral and 87% silt.
Various concentrations of the oil (1, 2, 3, 4, 5 and 6% oil content) were mixed with the
dry soil sample. The oil contaminated soil was passed through 2.4 to 0.075mm sieve
sizes and percentage of soil that passed through each sieve was determined to get the
aggregate size distribution. Figure 2.1 shows the aggregate size distribution curves of
the contaminated and uncontaminated soils. The aggregate size distribution curve
shifted from finer to coarser as oil contamination increased from 0 to 6% by dry weight
of the soil.
2
Aggregate size distribution curve is obtained using percentage of soil that passed
through various sieves in sieve analysis. Oil contamination resulted in flocculation of
soil composition into different aggregate sizes, hence, oil contaminated soils have
varying aggregate size distribution curves.
41
The study of Ijimdiya (2012) showed that an increase in oil content shifted the
There is a need to carry out further investigations on how oil affects the aggregate size
The Atterberg limits tests are used for the plasticity characterization of soils. Atterberg
plasticity clay. The soil was air dried, pulverized, sieved through 0.420mm sieve, mixed
with crude oil, and then air dried. Atterberg limits test was carried out for the soil.
Table 2.1 shows that when crude oil was added, Atterberg limits and plasticity index
Table 2.1: Properties of clay, before and after contamination (Rehman et al, 2007).
42
and 16% by dry weight of the soil. The liquid limit and the plasticity index of the soil
increased as the oil content increased in the soil from 0 to 12% as shown in Figure 2.2.
However, there was a reduction in the aforementioned parameters from 12 to 16% oil
Figure 2.2: Atterberg limits of low plasticity contaminated clay (Khosravi et al, 2013).
properties of basaltic grade V 3 and VI 4 residual soils. The soils were of loam and silty
3
Basaltic grade V soil - residual soil from igneous or volcanic rock that still possesses
the original soil texture.
4
Basaltic grade VI soil - residual soil from igneous or volcanic rock that no longer has
its original rock texture.
43
textures. XRD analysis indicated that the soil had feldspar, quartz and clay minerals of
kaolinite and contained little amount of gibbsite and goethite (Gibbsite is an aluminium
ore while goethite is a product of iron rich minerals). Atterberg limits were determined
for various levels of oil contamination in accordance with BS 1377 (1990). The results
for Atterberg limits were shown in Figures 2.3 and 2.4 for the basaltic grade V and
grade VI soils respectively. It shows that liquid limit and the plastic limit are reduced
when the oil content is increased. This was because oil occupied more space without
Figure 2.3: Atterberg limits for contaminated basaltic grade V soil (Rahman et al,
2010).
Figure 2.4: Atterberg limits for contaminated basaltic grade VI soil (Rahman et al,
2010).
44
Rahman et al (2011) investigated the effect of oil on the Atterberg limits of granitic 5
sandy loam and metasedimentary 6 soils. The soil samples in the study were taken from
in situ weathered granitic and sedimentary rocks. The granitic soil had 64% sand, 34%
silt and 2% clay while the metasedimentary soil consisted of gravel, sand, silt and clay
of 34%, 37%, 27% and 2% respectively. The minerals in the granitic soil were quartz,
kaolinite and gibbsite while the metasedimentary soil consisted of quartz and kaolinite.
weight of soil. Disturbed soil specimens were used and tests were done in accordance
The Atterberg limits reduced in the granitic sandy loam and metasedimentary soils as
shown in Figures 2.5 and 2.6. Khamehchiyan et al (2007) stated that oil caused a
reduction in the amount of water that surrounded the clay and sand particles. The first
contact of the oil was with the soil and not the water. Oil contaminated soil deform as
liquid or plastic in the presence of water. This was less when oil content increased,
5
Granitic soil - soil formed from granite, an igneous rock.
6
Metasedimentary soil - soil formed from sedimentary rock that have undergone
metarmophism.
45
Figure 2.5 Atterberg limits for contaminated granitic sandy loam soils (Rahman et al,
2011).
Figure 2.6 Atterberg limits for contaminated metasedimentary soils (Rahman et al,
2011).
lateritic soil. The material used for determination of the plasticity characteristic was soil
that passed through a sieve of 0.425mm. Liquid and plastic limits were determined
using BS 1377 (1990). It was found that 2 percent oil content reduced the plasticity
46
index from 16.0 percent to 15.5 percent as shown in Figure 2.7. When the soil was
mixed with oil content of 1, 2, 3, 4, 5 and 6 percent, it was confirmed that clods were
formed, hence, crude oil could glue soil particles together, thereby reducing the
Figure 2.7: Variation of plasticity index with oil content (Ijimdiya, 2012).
Oil contamination affected the Atterberg limits of soils. There is a lack of consensus on
how oil contamination affects the Atterberg limits of the soil, however, it is seen in the
literature that oil can either increase or decrease the Atterberg limits of the soil. There is
need to use different soils to investigate the effect of oil on the Atterberg limits of soils.
Compaction is the expulsion of air from voids of soils by compressing the soil particles
between dry density and both water content and total fluid content can be derived.
high plasticity clay. They used the standard Proctor compaction test and the variation of
maximum dry density with optimum water content of the soil is shown in Figure 2.8.
The contaminated soil (oil content was not stated) had a higher maximum dry density at
lower optimum water content; this was because the oil lubricated the soil aggregates.
Figure 2.8: Dry density and water content for contaminated and uncontaminated high
plasticity clay (Rehman et al, 2007).
Figure 2.9: Oil lubricating high plasticity clay (Rehman et al, 2007).
metasedimentary soils (silty clay loam), by using the standard Proctor compaction test.
Generally, oil contamination resulted in an increase in the maximum dry density of the
soil, accompanied by a reduction in the optimum water content as shown in Figure 2.10;
49
The oil glued more of the soil aggregates together as the oil content increased from 0 to
12%. However, the maximum dry density reduced at 16% oil content because the oil
Figure 2.10: Compaction curve for metasedimentary soils (Rahman et al, 2011).
sand. The soil was mixed with 2, 4, and 6% oil content by dry weight of the soil and
compacted with 4.5kg rammer. Compaction performed using 4.5kg rammer results in
higher soil densification than that of 2.5kg for the standard Proctor test rammer. The
Figure 2.11: Compaction curves for poorly graded sand (Al Sanad et al, 1995).
Generally, there was a decrease in the maximum dry density as the oil content increased
from 2 to 6% due to excessive lubrication of the soil. However, maximum dry density
increased as the oil content increased from 0 to 2% because the oil gave cohesion to the
soil at 2%. When oil content was above 2%, the oil gave less cohesion to the soil,
compaction characteristics of Bushehr coastal soils in Iran. The soils were poorly
graded sand, sand with 5 to 15% silt and low plasticity clay. These soils were mixed
with 0, 4, 8, 12 and 16% oil by dry weight of the soils. Compaction was done by the
standard Proctor compaction tests on the contaminated soils. They confirmed that
maximum dry density decreased when the oil content of the soil was increased. Out of
the three soil types, the decrease was more for sand with 5 to 15% silt and low plasticity
clay.
51
The poorly graded sand had a decrease in maximum dry density as oil content increased
in the soil as shown in Figure 2.12, because the sand has large pore spaces and oil
moves easily through these pores with ease. Furthermore, due to the ease of movement
of the oil within the soil pores, the decrease in the maximum dry density is small.
Figure 2.12: Compaction curves for poorly graded sand (Khamehchiyan et al , 2007).
The sand with 5 to 15% oil content had less pore spaces than the poorly graded sand,
consequently, there was no ease of movement of oil as that of sand. However, the oil
content sufficiently lubricated the soil and the maximum dry density decreased with
Figure 2.13: Compaction curves for sand with 5 to 15% silt (Khamehchiyan et al ,
2007).
52
The low plasticity clay had smaller particles than the poorly graded sand and the sand
with 5 to 15% silt. However, as oil content increased in the soil, the oil separated the
voids in the soil and this caused a reduction in the maximum dry density of the soil. The
optimum water content in the soil also decreased. The compaction curve of the low
Figure 2.14: Compaction curves for low plasticity clay (Khamehchiyan et al, 2007).
basaltic residual soil. The soils were sticky when wet. Figures 2.15 and 2.16 show the
compaction characteristics of grade V and grade VI basaltic soils respectively, using 2.5
Figure 2.15 Compaction curves for grade V basaltic soils (Rahman et al, 2010).
Figure 2.16 Compaction curves for grade VI basaltic soil (Rahman et al, 2010).
The initial maximum dry densities for the uncontaminated soils were 1.67g/cm3 for
grade V and 1.60g/cm3 for grade VI basaltic soil. The initial optimum water content in
percentage were 24 for grade V and 23 for grade VI basaltic soil. When 4 percent of oil
was added to the soil, the maximum dry density of contaminated grade V soil reduced
54
from 1.67 to 1.50g/cm3 and the reduction continued linearly with increase in oil content
of 8 to 16 percent (Fig 2.15). There was also a decrease in the maximum dry density of
contaminated grade VI soil as oil content was increased (Figure 2.16), but the decrease
granitic sandy loam soil. The maximum dry density reduced as oil contamination
increased in the soil as shown in Figure 2.17 because oil occupied the soil pores rapidly.
Figure 2.17: Compaction curve for granitic sandy loam soil (Rahman et al, 2011).
The literature review showed that when oil contaminated soils were compacted, the
compaction characteristics of the soils differed because the soil composition differed. It
showed that the maximum dry density increased with increase in oil content, when
Rehman et al (2007) and Rahman et al (2011) compacted an high plasticity clay and
55
metasedimentary soils respectively. On the other hand, the maximum dry density
such as poorly graded sand, sand with 5 to 15% silt, low plasticity clay and basaltic
soils. The lack of consensus on the effect of oil on compaction characteristics warrants a
further study wherein different soil compositions contaminated by oil are compacted to
investigate their compaction characteristics. This will add to existing knowledge in this
area of study.
The summary of increase or decrease in maximum dry density and optimum water
Table 2.3: Summary of Maximum dry density and optimum water content of soils
Shin and Das (2000) investigated the effect of oil content on the hydraulic conductivity
of oil contaminated poorly graded sand. The soils were mixed with oil contents of 1, 2,
4 and 6% by dry weight of the soils. The kinematic viscosities of engine oil, Oman
crude oil, and lamp oil were 300, 50 and 4 mPas respectively.
Specimens of 100mm diameter and 150mm height were used for constant head
permeability tests. The results of these hydraulic conductivity tests are shown in Figure
2.18.
Figure 2.18 Hydraulic conductivity of poorly graded sand (Shin and Das, 2000).
The hydraulic conductivity of the soil decreased with an increase in the oil content as oil
Soils with higher kinematic viscosities and higher relative densities were found to have
conductivity of different oil contaminated soils (sand with 5 to 15% silt, low plasticity
57
silt and low plasticity clay).The soils were contaminated with oil content of 2, 4, and
6% by dry weight of the soil. The kinematic viscosities of the oils for gear oil, engine
The hydraulic conductivity test was done for the three soils using falling head
permeability test with one back pressure system and deaired water. Standard
geotechnical hydraulic conductivity equation was used as oil does not mix with water
(Silverstein, 1998). The soils were compacted at the maximum dry unit weight, using
4.5kg rammer.
The study confirmed that hydraulic conductivity reduced as the amount of oil increased.
For contaminated soils with oils of higher kinematic viscosities, a larger decrease of the
hydraulic conductivity was observed as shown in Figure 2.19 because there was more
Figure 2.19: Variation of hydraulic conductivity with oil contents in sand with 5 to
15% silt, low plasticity silt and low plasticity clay (Rojas et al, 2003).
58
Chew and Lee (2006) investigated the effect of palm biodiesel on hydraulic
conductivity of poorly graded sand. The palm biodiesel was a blend of 20% palm oil
The poorly graded sand used for each test was compacted to a relative density of 60%.
Constant head permeability tests were carried out and the hydraulic conductivity of the
Figure 2.20 Variation of hydraulic conductivity with palm biodiesel content (Chew
The hydraulic conductivity of the soil decreased as the oil content increased because the
palm biodiesel in the soil pores filled the pores of soil, limiting the flow of water.
necessary to use different soils from those soils used by Shin and Das (2000), Rojas et
al (2003) and Chew and Lee (2006) to investigate the effect of oil on the hydraulic
The study of Shin and Das (2000), Rojas et al (2003) and Chew and Lee (2006) showed
variety of soils such as poorly graded sand, sand with 5 to 15% silt, low plasticity silt
The literature review showed that oil contamination caused reduction of fine aggregate
as evident in the shifting of the aggregate size distribution curve from finer to coarser.
The Atterberg limits, maximum dry density and optimum water content increased or
decreased depending on the kind of soil that was contaminated with oil. The hydraulic
has a different behaviour from those minerals contained in soils of previous research
works because of its swelling characteristic. This research work aimed to fill the gap in
modulus, compaction and hydraulic conductivity. The standards and equipment used by
the researchers varied, as there were many standards and equipment that could generate
data that were acceptable within the geoenvironmental practice. The main criteria for
choosing the equipment for this important area of research were their ability to generate
data and the British standard was adopted to achieve that purpose. The equipment
chosen to generate data for the study and the experimental procedures are included in
CHAPTER 3
This chapter presents a description of the materials used for the experiments and the
contaminated bentonite-kaolinite-sand mixtures were used for the experiments. Oil was
mixed into the soil mixtures for contamination. This study is important as it investigates
3.1 Materials
The type of soil and contaminant used for the experimental work are described in this
section.
The soil mixtures used for the experiments contained Wyoming bentonite, China clay
kaolinite and sand while the oil was Shell Tellus oil 68.
The particle size distributions of bentonite, kaolinite (done using a hydrometer analysis)
and sand (done using a dry sieving method) as per BS 1377:1990 are shown in Figure
3.1. The sand was poorly graded with coefficient of uniformity, C u of 1.7 and gap
graded with coefficient of curvature, C c of less than 1 (Fig A1). The specific gravity
(G s ) of the sand was 2.64 (Appendix A2), while those for bentonite and kaolinite were
61
2.65 and 2.60 respectively, as shown in Appendix A3. Specific gravity tests were done
Bentonite and kaolinite are clay soils that contain mostly montmorillonite and kaolin
respectively. The exact locations of the origin of the soils were not included in the
material safety and data sheets of the products, however, the stated mineralogical
content of Wyoming bentonite and China clay kaolinite are shown in Table 3.1.
Table 3.1: Mineralogical content of Wyoming bentonite and China clay kaolinite
(MSDS, 2011; WMA, 2013).
62
Shell Tellus oil 68 was used for contamination. The oil has a high viscosity index. The
viscosity index is a scale that states the resistance of the oil to flow, ranging from 0 to
100, with 0 as the most likely to change viscosity with variation in temperature. The
properties of the oil as included in its manufacturer's specification sheet are shown in
Table 3.2.
Table 3.2: Characteristics of high viscosity Shell Tellus oil 68 (MSDS, 2006)
and kaolinte and the soils were named soils 1, 2, 3, 4 and 5 as shown in Table 3.3.
Generally, oil content was the ratio of mass of oil (g) to mass of uncontaminated soil
(g). Oil volumes of 0, 2, 4, 6 and 8% of 5000cm3 were measured via graduated cylinder
(cm3), it was assumed that, 1g = 1cm3 for water. The oil had a density of 0.886g/cm3,
hence, for example, the oil content when 2% volume of oil was mixed into 5000g for
The same procedure was followed for 4, 6, and 8% volumes of oil. Consequently, the
oil contents were generally represented by 0.0, 1.8, 3.5, 5.3, and 7.1%. However, as a
result of contaminated soil sticking to equipment and containers used for experiment, oil
contents may be slightly higher. The aforementioned sticking of contaminated soil may
be more as the oil content increase in soil. Zheng et al (2014) stated that such technical
The oil was manually mixed with the dry mass of the soil mixtures before water was
added for carrying out different tests. This is to replicate periods of dry season in some
oil producing countries, for example, in Iran, 85% of the country is arid (Badripoor,
2004). Hence, oil contamination affects the dry soil before rainfall. Researchers often
mix oil into soil by the dry weight of the soil in order to carry out tests with
predetermined oil content in the soil. However, there are cases in which water might
have already been present in the soil before contamination with oil, but such a scenario
has not been investigated in this study. Nevertheless, whether oil was added to the soil
first before addition of water or water was added to the soil first before addition of oil,
the soil will contain the same oil and water contents. Section 4.4.2 is a further
Table 3.3: Soil mixtures with different oil content chosen for the present study
64
Typical aggregate size distribution curves of the uncontaminated soil mixtures and sand
are shown in Figure 3.2. The curves were obtained by dry sieving of oven dried soils.
Figure 3.2: Aggregate size distribution curve of uncontaminated soil mixtures and sand
The aggregate size distribution of contaminated soil mixtures are shown in Chapter 4
The tests presented in this chapter include the grading modulus using particle size
analysis test (dry sieving method), Atterberg limit tests (liquid limit and plastic limit),
mechanical means and stated that the aggregate is passed through a set of sieves and the
65
ratio of the sum of percentage of mass of soil retained on 2, 0.425 and 0.075mm sieves
where GM = grading modulus; P 2 = percentage of the soil retained on 2mm sieve; P 0.425
= percentage of the soil retained on 0.425mm sieve; P 0.075 = percentage of the soil
The more the percentage of soil aggregates retained on the 2, 0.425 and 0.075mm
sieves, the higher the grading modulus of the soils. Generally, soils with higher
proportion of larger grain sizes have higher grading modulus (SAPEM, 2011).
However, due to clay and sand adhering to each other, and soil aggregates clogging
sieve aperture, grading modulus is not a satisfactory assessment for design (Somayajulu
and Anderson, 1971). Hence, it is not definitive that soils with higher proportion of
The procedure of carrying out the test is described in section 3.5.1. The test confirms
reduction of fine aggregates in a soil. Although the grading modulus is not a true
reduced the fine aggregate in the experimental soils. The test is important as it shows
the effect of oil on contaminated soils without water. Grading modulus test results are
The liquid limit is the minimum water content at which the soil behaves like a liquid
while the plastic limit is the minimum water content at which the soil exhibits a plastic
state, as the soil changes from plastic to semi-solid state. The plasticity index is the
difference between the liquid limit and the plastic limit. The Atterberg limits are
relevant because they are used for plasticity characterization of the soil. They show if
the plasticity of the soil increase or decrease as that affects the behaviour of the soil.
Appropriate amount of water was added to the contaminated soils to carry out the liquid
When oven drying soil to determine water content for liquid limit and plastic limit, there
may be oil loss due to evaporation. According to Khosravi et al (2013), oil loss in
percentage for their study was less than 3% of the mass of oil in the soil. Hence, the oil
loss was considered insignificant. Appendix B1 showed the Atterberg limts results for
this study. There was insignificant oil loss in this study (Appendix B2).
The oil content was the ratio of mass of oil (g) to that of mass of uncontaminated soil
(g). However, oil contents may be higher because of contaminated soil sticking to
where oc = oil content (%); M o = Mass of oil (g); M soil = mass of uncontaminated soil
(g).
67
The oil loss (%) was the ratio of mass oil loss (g) to the mass of dry contaminated soil
(g). The dry contaminated soil contained soil solids and oil residue (Tong, 2008; Zheng
et al, 2014). They stated that it was necessary to add the mass of oil residue to the mass
of soil solids because when oil evaporated, there was residue left in the dry soil. This
was considered as part of the technical issues when performing experiments with soils
where OL = oil loss (%); M ols = mass of oil loss (g); M solids = mass of soil solids (g);
The oil loss (g) per mass of oil (g) was expressed in percentage (Table B2.6), this was
Table B2.1 showed, for example, that in the case of 1.8% oil content, oil loss (g) and
mass of dry soil were 0.01g and 12.66g respectively. The oil loss (%) = 0.01/12.66 x
100 = 0.08%. The oil loss in (g) per mass of oil (g), expressed in percentage for the
same soil was 0.01/0.23 x 100 = 4.3% (Table B2.6). The same procedure was followed
for other soils and the values are shown in Table B2.1 to B2.6.
3.2.3 Compaction
The purpose of compaction was to investigate the dry density and water content/total
The purpose of the test was to evaluate differences in hydraulic conductivity of the
uncontaminated and contaminated soils. The soil was compacted in order to produce a
specimen with low hydraulic conductivity, because it was required for a soil to be used
as liner for landfill to have low hydraulic conductivity of less than 1 x 10-9m/s (Nwaiwu
et al, 2009).
The oil contaminated soils for different tests were sealed in containers and kept for one
200g of soil mixture was used for the uncontaminated soil. The ratio of bentonite,
kaolinite, sand and oil content in each soil mixture was shown in Table 3.3. In the case
of the contaminated soil, mass of contaminated soil used was calculated; for example,
2/100 x 200 = 4g
Mass of contaminated soil placed in top sieve for test = 200 + 3.5 = 203.5g.
The same procedure was followed in the calculation of mass of contaminated soil
placed in the sieve for grading modulus test, with oil contents of 3.5, 5.3, and 7.1%;
mass obtained were 207.1g, 210.6g and 214.2g respectively. There was loss of soils due
to contaminated soils sticking to containers, in which the soils were mixed with oil.
When uncontaminated soils are sieved, the mass retained may be lower than the initial
mass of soil used, due to soil loss (Fratta et al, 2007). Hence, the mass of soil retained in
this study were lower than the initial mass used for the tests (Appendix A5).
The test was carried out as stated in section 3.5.1 by the dry sieving method. However,
the contaminated soils contained oil before sieving, hence, oil contaminated soil
Sand was sieved through 0.425mm sieve, then, an appropriate mass of sand was
manually mixed with the appropriate mass of bentonite and kaolinite. 250g of soil
mixture was contaminated with the appropriate oil content. Appropriate amount of
water was added to the contaminated soil and mixed thoroughly to form a thick
homogenous paste. The paste was kept for 24 hours in a sealed container before
carrying out the Atterberg limits test. 20g was separated and used for the plastic limit
test. The ratio of the soils and oil in the mixtures was stated in Table 3.3 and the same
procedure was used for all soils. The Casagrande's apparatus was used for the liquid
limit test while while plastic limit test was done by the hand rolling of soil.
Generally, liquid limit tests are done using cone penetrometer or Casagrande cup. Both
apparatus are reliable for the testing of soils, however, the cone penetrometer gives
70
slightly lower values when liquid limits are higher than 100% (Head and Epps, 1980).
Hence, this study used the Casagrande cup as it was an acceptable method for testing.
5000g of oven dried soil mixture was contaminated with oil and separated for each test.
A known amount of water was added and manually mixed into the contaminated soil.
The soil mixture that contained oil and water was kept in a container for 24 hours. The
compaction test for each soil mixture was carried out as stated in section 3.5.3. Known
water contents were measured incrementally and added into the soil.
The optimum water content for a particular soil was added to its soil mixture, then
mixed thoroughly and compacted in three layers. The optimum water content is the
water content at which the maximum dry density of a soil is attained (Fratta et al, 2007).
Section 3.5.3 explains procedures for compaction of soil and shows typical compaction
curves. The hydraulic conductivity test was done on uncontaminated and contaminated
soils for the five soil mixtures as shown in Table 3.3. Section 3.5.4 explains procedures
The grading modulus tests were done using sieves of different sizes. Liquid limit test
was done using the Casagrande apparatus while plastic limit test was done by the hand
rolling of soil. Compaction test was done with a compaction machine and mould while
hydraulic conductivity test was done with a Rowe cell. The compaction equipment used
71
was manufactured by Newman Industries Limited, Bristol, England while the Rowe cell
A pressure system for confining pressure and two combined digital back pressure input
and quantity of flow reading equipment manufactured by GDS, United Kingdom, was
SAPEM (2011) stated that soil aggregates are sieved in order to obtain the grading
modulus. The soil was prepared as stated in section 3.3.1. The soils used for this study
were oven dried and contaminated with oil, based on the fact that contaminated soils
formed aggregate. The soil aggregates were sieved through 2, 0.425, 0.3, 0.25, 0.212,
0.18, 0.15, 0.125, 0.18, 0.15, 0.125, 0.106, 0.09, 0.075 and 0.063mm sieves. The 0.25,
0.18, 0.15, 0.125, 0.106 and 0.09mm sieves are not BS 1377: 1990 sieves. The grading
Typical aggregate size distribution curves are shown in Figure 3.3. The oil contents in
the soil were 0.0, 1.8, 3.5, 5.3 and 7.1% and aggregate size distribution curves shifted
from finer to coarser as the oil content increased as shown in Figure 3.3. This showed
that the fine aggregate in soil decreased as the oil content increased.
72
The shifting of the aggregate size distribution curve from finer to coarser as oil
contamination increased indicated that larger soil clods were formed in the soil as the oil
were retained on the 2, 0.425 and 0.075mm sieves used for the grading modulus test
(Appendix A6).
Liquid limit test was done using Casagrande method while plastic limit test was done by
hand rolling of soil (BS 1377:1990). In order to perform the liquid limit test for a
particular soil, appropriate amounts of water were added to the contaminated soils and
groove cut through the soil; then, the crank handle of equipment turned at two
revolutions per second. The cup lifts and drops, and groove closed along a distance of
13mm, with two parts of soil in contact at the bottom of the groove. The number of
73
bumps was recorded. The number of bumps at which the groove closed varied as the
soil was mixed with more water. This was performed for number of bumps within 10
and 50, by remixing the soil taken out from the Casagrande cup with wet soil on glass
plate and remixing with more water. Two bump counts were on each side of 25 bumps.
Wet soil was taken from the zone where the two portions of soil divided by cutting of
the groove had flowed together, via a spatula. The wet soil was placed in a container
and water contents were measured by oven drying of soils. The water content for the
plastic limit test was determined by oven drying soil that crumbled at 3mm diameter,
The fall cone test is the preferred test for liquid limit tests; however, it is unreliable for
use with clays that possess expansive properties. This study was done using soils with
expansive characteristics as a result of the bentonite content; hence, the Casagrande cup
The water contents of the contaminated and uncontaminated soils defined the Atterberg
limits of the soils. The formulae used for calculating the water contents in the
uncontaminated and contaminated soils agreed with Tong (2008) and Zheng et al
Uncontaminated soil
w u = M w / M d x 100 (3.4)
where w u = water content of uncontaminated soil (%); M w = mass of loss of water (g);
where w o = water content of oil contaminated soil (%); M t = mass of wet contaminated
soil (g); M r = M s + M or = mass of dried contaminated soil (g); M v = mass of loss of oil
(g); M s = mass of dried soil without oil and water (g); M or = mass of oil residue (g).
The loss of oil (M v ) was considered insignificant for this study, hence, water content
= (M t - M r ) / M r x 100 (3.7)
Typical variation of water content with the number of bumps is shown in Figure 3.4.
The liquid limit is the water content corresponding to 25 number of bumps. The liquid
Test number 1 2
Mass of wet soil (g) 7.90 14.38
Mass of dry soil (g) 7.00 12.74
When the soil was contaminated with oil, the sum of the oil content and liquid limit or
plastic limit was the total fluid content at Atterberg limits while the sum of oil content
and plasticity index was the total fluid content at plasticity index as shown in Figure 4.5
Compaction was done following the British Standard light compaction test as outlined
300mm. The compaction mould had a diameter of 105mm and length of 115.5mm, with
volume of 1000cm3 . Appropriate amount of soil was taken from the soil mixture
prepared for the test as stated in section 3.3.3 and compacted in three layers in a mould
with extension collar for one compaction test; each layer received 27 blows. The soil
was compacted in three layers for thorough densification, however, soils compacted in
more than three layers have more densification. Great care was taken to transfer the soil
76
from its container into the mould fitted with an extension collar for each compaction
and vice versa, so that soil loss was avoided. The extension collar was removed at the
end of the compaction procedure and the soil was trimmed to the top level of the mould.
The soil, mould and base were weighed. Bulk density (ρ) from each compaction test
Where, M SMB = mass of the soil, mould and base; M MB = mass of the mould and base;
The soil was removed from the mould using an extruder, then broken and remixed
manually with the remainder of the prepared sample. Known increment of water was
added manually to the remixed soil and the above mentioned compaction procedure was
repeated. The procedure was repeated until five compactions were carried out. The ratio
of the sum of mass of water increment added and the mass of water in the soil to the
The formulae used in calculating the dry density for the uncontaminated and
Uncontaminated soil
M = M sl + M wt (3.9)
M wt = wM sl (3.11)
ρ = (M sl + wM sl )/V (3.12)
ρ = ρ d (1+ w) (3.14)
ρd = ρ/ (1+ w) (3.15)
M = M sl + M wt + M o (3.16)
M = M sl + wM sl + ocM sl
(3.17)
M = M sl (1 + w + oc) (3.18)
ρ d = M/[V(1 + w + oc)]
(3.21)
Typical variation of dry density and water content of soils are shown in Figure 3.5 with
the dry density and water content corresponding to the peak of each compaction curve
as the maximum dry density and optimum water content respectively. The compaction
curves are shown in Chapter 4 and results in Appendix C. Furthermore, variation of dry
density with total fluid content and results are also shown in Chapter 4 and Appendix C
respectively. The total fluid content corresponding to the peak of each compaction curve
is the optimum total fluid content. Typical compaction curves using variations of dry
Figure 3.5: Compaction curves of uncontaminated and contaminated soil 1 using water
content.
Figure 3.6: Compaction curves of uncontaminated and contaminated soil 1 using total
fluid content.
Zheng et al (2014) measured the water content of oil contaminated soils. They used
diesel contaminated sand, gasoline contaminated clay and engine oil contaminated sand
79
for analysis. Known mass of oil and water were initially mixed into known mass of soil.
Hence, the initial water and oil contents were known. The results are shown in Table
3.5.
Known oil and water contents were used in this study, the same quantities were used for
calculations. However, soil loss could occur as a result of contaminated soil sticking to
experimental equipment and containers. This could result in higher oil contents and
water contents. Higher oil contents and water contents could result in lower dry
densities (Equation 3.22). Minute higher water contents were observed in the measured
Table 3.5: Comparison of known water content added to oil contaminated soil and
The study of Zheng et al (2014) showed that both known water content and measured
which there is a reduction in measured oil and water contents, the effect would be
Gardner and Hillel (1962) stated that heated uncontaminated loam soil column with
water content of 45%, which was left uncovered, had water evaporation of 1.6% in 24
hrs. Evaporation rate was achieved by adjusting air circulation and radiant heat energy
via a heat pump. The soil column (7cm diameter and 22cm long) had measured
temperatures of 26.5, 25.8, 25.4 and 25 ⁰C at depths of 2, 5, 10, 15, and 20cm
respectively in the soil. The temperature of the laboratory in which the experiment was
rate of evaporation decreases as the temperature and water content decreases (Terzaghi
et al, 1996).
The wet soils in containers, used in this study were always covered by the lids, and this
minimized water evaporation as suggested by Head and Epps (1980). The soils used
were not heated; Gardner and Hillel (1962) heated the soil for their study. The heating
system of the laboratory was switched off during the period of experimental work, for
minimal water evaporation. Zheng et al (2014) observed that measured water contents
in oil contaminated soil could be lower than known water contents in soils obtained by
adding a known mass of water (g) to a known mass of soil (g). This could be because
prepared specimens in containers were not covered with lids or water was lost by
The hydraulic conductivity test was done in accordance with the procedures by Rowe
and Barden (1966). The set up for hydraulic conductivity test is shown in Figure 3.7.
81
Figure 3.7: Hydraulic conductivity test set up – Rowe cell (vertical flow).
The sample used for each test was taken from soil compacted at its optimum water
content in a 1000cm3 mould (section 3.4.3) via sample ring of 76mm diameter and
30mm height. The sample ring was pushed into the compacted soil from the top of the
soil. Soil around the sample ring was trimmed off. The sample diameter was measured
as D and its height as H by pushing the soil out of sample ring and taking the
measurements using a Vernier caliper. The outlet drain diameter, d was also measured
as 3.8mm.
Filter paper (characteristics was not stated) was placed at the base of the cell, the soil
specimen was placed in the Rowe cell and another filter paper was placed on top of the
specimen. A confining pressure of 50kPa was applied, a pressure difference using back
pressure of 40kPa at inflow and back pressure of 20kPa at outflow was used to
introduce water flow till equilibrium was observed as recommended for tests that
contain swelling soils (Meegoda and Rajapakse, 1993; Chalermyanont and Arrykul,
2005). The pressure difference maintained the flow in the soil (Shapiro et al, 1998). The
water flow was measured by taking the outflow reading when it became constant using
82
a timer. Hence, the flow rate was the measured quantity of flow (interval) per time (see
Appendix E). The input flow was not recorded; it was assumed that hydraulic
conductivity values based on steady outflow were reliable for small soil specimens, as
recommended by Green et al (1998). They used soil specimen of 76mm diameter for
their study. The height of sample was stated as within 60 to 75mm. The study was on
the laboratory outflow measurement for hydraulic conductivity of small soil specimen,
The readings used for this study were constant; there was no archiving of non-constant
outflow.
The confining pressure 50kPa was applied through a pressure control system via the
confining pressure port of the Rowe cell, by choosing 50kPa as the pressure. The back
pressures of 40kPa and 20kPa that introduced the flow were applied through combined
digital back pressure input and quantity of flow reading equipment. One was connected
to the inflow port of the Rowe cell while the other was connected to the outflow port of
the Rowe cell. The back pressure was introduced by typing the value of back pressure
on the key pad of the equipment. The back pressure was shown on the back pressure
display screen after its input. The volume of water was shown on the volume reading
on clays gave steady state reading within one week. It was observed in this study that
The hydraulic conductivity was determined using the standard equation for the
experiment:
83
Table 3.6: Quantity of flow, Q interval (ml) in 5 mins for uncontaminated soil.
* Q interval (mm3) was divided by 1000 to obtain Q interval (ml).
Table 3.5 showed that the quantity of flow (interval) was 0.31 ml in 5 minutes.
The hydraulic conductivity of soils is discussed in Chapter 4 and the results are shown
in Appendix E.
Chapter 3 presented the materials and experimental methods used for this study.
Bentonite-kaolinite-sand mixtures with oil contents of 0.0, 1.8, 3.5, 5.3, and 7.1% were
The appropriate mass of bentonite, kaolinite and sand were separately oven dried, then,
manually mixed together. Known amounts of oil were mixed into the soil mixtures and
Grading modulus was used for determination of effect of oil on the aggregate size
distribution of the soil mixtures. Liquid limit test was conducted using the Casagrande
cup and plastic limit was done through the hand rolling of soil. Compaction tests were
done using Proctor compaction method and hydraulic conductivity tests were performed
CHAPTER 4
The results of the experimental work are presented and discussed in this Chapter.
The particle size distribution of the bentonite and kaolinite obtained using a hydrometer
and that of sand obtained using a set of sieves was shown in Figure 3.1. Hydrometer test
was not done for oil contaminated sand-clay mixtures because the test cannot be carried
out for soils with organic matter content (Head and Epps, 1980). Oil used in this study
The aggregate size distribution curves of uncontaminated soil mixtures in Figure 3.2
were different from those of bentonite, kaolinite and sand in Figure 3.1, because soil
aggregates were mixtures of soils, while the particle size distribution curves were for
The aggregate size distribution curve of oven dried uncontaminated soils obtained by
dry sieving in this study generally shifted from coarser to finer as shown in Figure 3.2
because the bentonite content increased in the soil. The bentonite filled pores of
kaolinite and sand and clogged aperture of the sieves as it increased from
uncontaminated soil 1 to soil 5, and when the soils were contaminated by oil, the
aggregate size distribution curve generally shifted from finer to coarser in each soil as
shown in Figure 4.1. This was a result of both bentonite filling the soil pores and oil
a. Soil 1 b. Soil 2
c. Soil 3 d. Soil 4
e. Soil 5
For oil contaminated soils flocculation occurs when oil is added to soils while there is
particles adhering to each other and forming clods, in this case as a result of oil
contamination while dispersion is the detaching from each other of solid particles in the
presence of water (Lambe, 1958). Because of oil contamination, the aggregate size
distribution curve shifted from finer to coarser (Figure 4.1), thereby implying that the
oil contamination caused the soil to flocculate. The shifting of the aggregate size
distribution curve further to the coarser in each of the five soils (Figure 4.1) as oil
contamination increased from 0.0% to 7.1% indicated that as oil content increased in
each soil, soil aggregation also increased; hence, the oil glued together more of the fine
aggregate as the oil content increased in the soil. The shifting of the aggregate size
distribution curve of soil from finer to coarser as oil content increased in the soil was
also observed by Ijimdiya (2012), when lateritic soil was contaminated with oil.
The behaviour of the soil as shown on the aggregate size distribution curves laid an
important foundation for other tests such as Atterberg limits, compaction and hydraulic
conductivity. It showed that when oil comes in contact with dry soil, the first effect it
had on it was flocculation. Ijimdiya (2012) stated that when oil was mixed into dry soil,
there was formation of soil clods. This study did not investigate the effect of oil
contamination on the aggregate size distribution of soil that contains water. However,
suggestive that the aggregate size distribution curve would shift from coarser to finer.
The contaminated soil aggregates could be deflocculated when water is introduced and
when that happens, the soil is dispersing. The flocculation and dispersion affect the
88
behaviour of the contaminated soil. The effect is explained in sections 4.3, 4.4 and 4.7
Oil contaminated soil clods are different sized soil aggregates formed by the presence of
oil in the soil. The soil clods retained on soil 1 with 7.1% oil content is shown in Figure
4.2. Generally, larger sized clods were formed as the oil content increased in each soil
(Appendix A6). Consequently, in general, there was an increase in the grading modulus
of each soil (Figure 4.2). The amount of larger clods formed by oil contamination was
(a) (b)
Figure 4.2: Soil clods on (a ) 2mm sieve (b) 0.425mm sieve for soil 1 (7.1% oil
content).
Assessing the grading modulus by using the formulae [(P 2 + P 0.425 + P 0.075 )/100, soils
that contain a high proportion of fine aggregate have a grading modulus below 2.0. In
the context of grading modulus, fine aggregate are soil aggregates with sizes less than
4.75mm while coarse aggregate are soil aggregates with sizes above 4.75mm
89
(Wieffering and Fourie, 2009). Figure 4.3 and Table A6.6 show the grading modulus of
The grading modulus of soil 1 ranged from 0.05 to 0.42, soil 2 ranged from 0.14 to 0.36,
soil 3 ranged from 0.08 to 0.47 and soil 4 ranged from 0.02 to 0.67, hence, even with oil
contamination that reduced the fine aggregate, the grading modulus of soils 1, 2, 3 and 4
were below 2.0. This was consistent with the nature of the soils used for the test, a
mixture of sand, kaolinite and bentonite that constituted the fine aggregate. It was also
deduced from Figure 4.3 that soil 4 had the least grading modulus at some points,
followed by soil 3, 2 and 1. However, for soil 5 there was more formation of soil clods
on the 2mm and 0.425mm sieves due to more reduction of fine aggregate, hence its
grading modulus values became high but still below 2.0 (SAPEM, 2011) .
The soils in this research had grading modulus below 2.0, hence, the soils are likely to
be good materials for use as soil liners for landfills, although grading modulus is not a
reliable parameter for design and does not give satisfactory results with regard to the
90
properties of the soil as it is not a true representation of the gradation of the soil
(Somayajulu and Anderson, 1971), and properties of soils influence their behaviour.
Soils with grading modulus below 2.0 are considered as soils of poor quality for road
construction because they possess low strength (SAPEM, 2011). It was deduced that the
soils used for this study are not good for road construction as they had grading modulus
below 2.0.
This study agreed with the findings of Somayajulu and Anderson (1971) that soils with
more fine grained sized particles do not always have lesser grading modulus. They
reported that sand-cement mixtures with 0, 6, 8 and 10% cement content had the same
grading modulus. However, Paige-Green (1999) reported that soils with 63% gravel,
22% sand, 8% silt and clay; 47% gravel, 39% sand, 8% silt and clay; and 32% gravel,
54% sand, and 8% silt and clay had grading modulus of 2.50 , 2.13, and 2.07
respectively. The aforementioned studies used dry soils while the present study was
done with oil contaminated soils, however, the soil aggregates were fine aggregates
(less than 4.75mm aggregate sizes) in all studies. Grading modulus data are interpreted
The liquid limit and the plastic limit tests were done for the present study. Liquid limit
and plastic limit were defined in section 3.2.2. The range of the liquid limit and plastic
are shown in Table 4.1. The liquid limit and plastic limit of Wyoming sodium bentonite
and China clay used for this study are shown in Table 4.1 and Appendix B.
91
Table 4.1 Liquid limit and plastic limit of soil minerals and clay soils of study.
The Atterberg limits and plasticity index of the soils of this study are shown in Figure
4.4 while the total fluid content at the Atterberg limits and plasticity index are shown in
Figure 4.5.
Figure 4.5: Total fluid content at Atterberg limits and plasticity index of soils
Das (2010) stated that water molecule has a negative charge at one end and a positive
charge at the other end, an arrangement referred to as dipole while plate shaped clay
particles possess a negatively charged surface. The cations (positive charges) of water
are attracted to the negatively charged clay surface, hence, by force of attraction, water
is held to clay particle, known as double layer water, and the innermost layer of the
double layer water is adsorbed by the clay. Generally, bentonites are described as clays
with negatively charged surfaces, which are attracted to the positive charges of water. In
the case of kaolinites with zero net charge, water is adsorbed by individual particles of
There was soil aggregation when the soils were contaminated by oil, as proved by the
aggregate size distribution tests of the contaminated soils, but, when water was added
during the liquid limit test, the soil dispersed and more of the soil surface was in contact
with water. The increase of water content for the contaminated soil to flow caused an
increase in the liquid limit of the soil, and this was precisely what was observed for soils
93
1, 2, 3, 4 and 5. The soils with higher bentonite content generally required more water
for their dispersion and flow; hence, they had higher liquid limits.
bentonite-kaolinite mixtures, they added sand and kaolinite to bentonite and there was a
bentonite 10%, kaolinite 40%, sand 50% (soil A); bentonite 15%, kaolinite 35%, sand
50% (soil B); bentonite 20%, kaolinite 30% and sand 50% (soil C). This study had
lower Atterberg limits for uncontaminated soils 1, 2 and 3 in comparison with that of
Wilbourn et al (2007) due to the higher percentage of sand in the soil ratios, however,
they were close to that of Spagnoli and Sridharan (2012) as their uncontaminated sand-
clay mixtures contained quartz powder that increased the liquid limits of the soils.
The plasticity of the soils in this study ranged from high to very high. Burmister (1949)
classified soils using the plasticity index as non plastic (0%), slightly plastic (0 - 5%),
low plasticity (5- 10%), medium plasticity (10 - 20%), high plasticity (20 - 40%) and
very high plasticity (> 40%). Soil 5 contained the highest amount of bentonite,
consequently, its liquid limits and plastic limits were the highest, next was soil 4, then
soils 3, 2 and 1. The Atterberg limits of the soils were increased because bentonite and
oil contents in the soils influenced the characteristics of the soils. Rehman et al (2011)
stated that when oil gives extra cohesion to a soil, the liquid limit increases. The soils
also had increased plastic limits that resulted in increased plasticity index for the soils.
The five soils had liquid limits that were more than 20% and their plasticity index were
more than 7%. Ige (2010) specified those limits for soils to be used as soil liners.
Atterberg limits are determined and qualitative interpretations are done, however, it is
94
and composition of the soils, as soils could possess the same liquid limit or plastic
The plasticity of the oil contaminated soils increased as confirmed by addition of more
water to soils that contain more oil for the soils to flow. Rehman et al (2007) stated that
when more water was added to high plasticity clay that was contaminated by oil, there
was a change in the Atterberg limits of the soil. The soils of this study could flow when
dispersed by water, and the liquid limits increased, hence, in spite of the formation of
clods as oil comes in contact with soils, the permeation of water through soils in the
presence of oil could result in elevated liquid limits as the oil imparts cohesion to the
soils. The presence of bentonite and kaolinite had imparted a plastic behaviour to the
soil; when contaminated with oil and water added, the result was an oily soil with
increased liquid limit. Oil contamination lubricated the soil, and its interaction with
water resulted in increased liquid limit as more water was required to change the state of
There was an increase in the plasticity index of the soils as the bentonite content
increased because the liquid limit and plastic limit increased. The plasticity index of soil
1 ranged from 35% to 42%. Soil 2 had a plasticity index that ranged from 56% to 60%
while soil 3 had a plasticity index between 67% to 71%. Wilbourn et al (2007) also
reported very high plasticity index because of the presence of bentonite in the soil. Soils
with plasticity index of less than 65% are generally considered suitable as soil liners for
landfills (Ige, 2010). Soils 1 and 2 possessed plasticity index that was less than 65%,
that of soil 3 was close to 65% while those for soils 4 and 5 were beyond the
aforementioned limit.
95
4.4.1 Compaction curves using variation of dry density and water content
The compaction tests were done for soils 1, 2, 3, 4 and 5, the results are shown in
Appendix C while the compaction curves are shown in Figure 4.6. The aim was to
determine how an increase in the oil content affected the maximum dry density and
a. Soil 1 b. Soil 2
c. Soil 3 d. Soil 4
e. Soil 5
The aggregate size distribution of the soils established that oil caused flocculation. The
soils had different proportion of bentonite and kaolinite and when the flocculated
various levels of oil contamination, the flocculation of the soils differed. Addition of
water to the flocculated soils resulted in dispersion of the clay content in the
contaminated soils, thereby causing a variation in the behaviour of the various oil
Water content affected the oil contaminated soil during compaction; the oil
contaminated soil was more flocculated when water content was low in the soil.
Dispersion increased when more water was added to soils, and at the optimum water
content, the soils had a combination of dispersed and flocculated soil fabric.
The dispersion of the soil from a flocculated soil fabric in each of the soils was
responsible for the varying maximum dry density of the soils, as each soil had a
combination of less flocculated and water dispersed soil content at its optimum water
content. This behaviour of the soil mix actually agreed with Lambe (1958) who also
found that both dispersion and flocculation could occur during compaction.
The contaminated soils with more oil content had lower optimum water content because
soil pores already contained more oil. The higher the oil contents in the soil, the lower
the water content that would be deflocculating the contaminated soil to attain the
maximum dry density. The soil was a combination of a flocculated and dispersed soil at
the optimum water content, hence, it was deduced that as the oil content increased in
each soil, the water content that produced a combination of dispersed and flocculated
soil at which the optimum water content was attained was lower.
98
Generally, as the bentonite content increased from soil 1 to soil 5, the maximum dry
density reduced. The uncontaminated soils with a lower content of bentonite were
dispersed faster than the soils with more bentonite content. Furthermore, generally, the
uncontaminated soils with higher bentonite content had higher optimum water content
and lower maximum dry density. This showed that as the bentonite content increased in
the soils from uncontaminated soil 1 to soil 5, there was an increase in the absorption of
water by the bentonite, also as kaolinite content decreased in the soil, there was a
decreasing hydrous nature of the kaolinite. This resulted in a decreased maximum dry
Jawad (2014) reported an increase in the maximum dry density as the bentonite content
uncontaminated soil A (bentonite 10%, kaolinite 40%, sand 50%); soil B (bentonite
15%, kaolinite 35%, sand 50%) and soil C (bentonite 20%, kaolinite 30%, sand 50%),
soil B had highest maximum dry density, while in this research uncontaminated soil 2
had highest maximum dry density. Soil A had the lowest maximum dry density in their
study while in this study uncontaminated soils 3, 4 and soil 5 had the lowest maximum
dry density because the high bentonite content resulted in reduction of the maximum
dry density of the uncontaminated soil. Kenney et al (1992) stated that bentonite content
maximum dry density. Soils 3, 4 and 5 with bentonite content of 20%, 25% and 30%
Soil 1 (Figure 4.6) with lowest bentonite content (10%) had maximum dry density that
generally reduced because of increasing oil content. Soil 1 had more porosity than other
soils because it contained the smallest amount of bentonite; addition of oil filled these
pores, consequently, the maximum dry density reduced. Bentonite and kaolinite filled
the pore spaces of the sand in this study, that resulted in reduced maximum dry density
and optimum water content as the soil was compacted at increased levels of oil
contamination.
Al-Rawas et al (2005) stated that a soil had reduced dry density because oil filled the
voids of the soil. Soils 2, 3, 4 and 5 in this research had a decrease in dry density as oil
content increased because oil lubricated the soil by filling voids. It could be suggested
that although bentonite and kaolinite filled the pores of sand, oil also infiltrated into the
pores, thereby lubricating the soil and consequently reducing the maximum dry density
accompanied by a reduction of the water content. Al-Sanad et al (1995) stated that oil
(2007) stated that oil lubrication decreased maximum dry density, as oil content
increased in low plasticity clay and sand with 5 to 15% silt, accompanied by a reduction
in the water content. They stated that when oil reduces the contact of soil particles and
water, the capillary tension force reduces as oil content increases and this result in a
The reduction of optimum water content as oil content increased in soils means that oil
does not have a water absorbing nature. The nature of oil in terms of water absorption is
content decreased maximum dry density as optimum water content increased because of
its water absorbing nature. Okafor and Okonkwo (2009) discovered that rice husk ash
100
reduced maximum dry density of lateritic soil as optimum water content increased, as it
Oil and water do not mix, oil is hydrophobic, restricting the contact between particles in
soil and water, this action results in decreased density of the soil. The oil in the
lubricated soil, a soft soil paste, resulted in a decreased maximum dry density as oil
Soils 3, 4 and 5 had a decrease in maximum dry density as the oil content was increased
Oil contamination of soils resulted in formation of soft oil contaminated clods. When
the contaminated soils were compacted, there was a decrease in the maximum dry
density and optimum water content in the soils. The clods also contained oil in their
voids and compaction of the lubricated soil resulted in decreased maximum dry density.
This agreed with the findings of Al-Rawas et al (2005) that oil in soil voids resulted in a
Addition of water to soils resulted in the clay content in the sand-clay mixture absorbing
water; the oil contaminated soil was a swelled contaminated soil mostly due to bentonite
content and the swelled contaminated soil occupied more space in the compaction
mould. The outcome was a reduction of the maximum dry density of the soil. This
agreed with the findings on the effect of oil contamination on soils by Rahman et al
(2010). It also agrees with the findings of Chalermyanont and Arrykul (2005), that
The compaction of soils at increasing oil contents resulted in less water used for
compaction to attain the maximum dry density as the oil and water filled the soil pores.
Oil contamination and the presence of water caused separation of soil voids, resulting in
4.4.2 Compaction curves using variation of dry density and total fluid content
The compaction curves of the soils using variation of dry density with total fluid content
are shown in Figure 4.7. The results are shown in Appendix C. Previous studies used
a. Soil 1 b. Soil 2
c. Soil 3 d. Soil 4
e. Soil 5
Figure 4.7: Variation of dry density with total fluid content of soils.
103
Figure 4.7 showed that as optimum total fluid content increased in each soil, the
maximum dry density of the soil decreased. Generally, the compaction curves shifted to
higher optimum total fluid contents because the oil content increased in the soil.
However, it was observed that the compaction curves of soils with 7.1% oil contents in
soil 1 to 4 did not have optimum total fluid contents greater than that of 5.3% because
In a scenario in which the soil contained water before oil was added to the soil, the
amount of water in the soil was the water content. Furthermore, the total fluid content
would be the sum of water content and the oil content of the soil. Addition of more
water to the contaminated soil would result in increased water content. Generally, the
uncontaminated soils in each of the five soils of this study had higher optimum water
content and higher maximum dry density. It is suggestive that if soils contained water
before oil was added for the tests, the soils with more water content would have higher
According to Daniel (1991), when a clay soil is wet with water, it becomes sticky,
forming soil clods that disperse as the water content increases. This behaviour applied
to the soils of this study, if water was added firstly, before addition of oil. Hence, oil
added to soil containing water will flocculate the soil. Also, oil contamination of a soil
that did not contain water, resulted in flocculation of the soil (Ijimdiya, 2012), and
addition of water to the oil contaminated soil would result in dispersion of the soil. Oil
lubricates a soil that contains water, hence, there is flocculation of soil, but, when the
soil comes firstly in contact with oil, the soil becomes lubricated; hence, addition of
Soils used for compaction test were flocculated when oil was mixed into the soils.
When water content increased in the soil as the compaction test was carried out, the soil
dispersed. There was a combination of flocculated and dispersed soil at the maximum
dry density. Generally, in this study, soils with higher optimum total fluid contents had
lower maximum dry densities. It is suggestive that the combination of flocculated and
dispersed soil at which the maximum dry density is attained is reached faster when the
oil content is higher in the soil. This is in agreement with Lambe (1958) who stated that
dispersion of flocculated clay soil increases as the water content increase when
compaction test is performed. However, this study did not carry out scanning electron
4.4.3 Compaction curves from variation of dry density and total fluid content
Data of some previous researchers were used for compaction curves. The compaction
curves of variation of dry density with total fluid content are shown in Figure 4.8 to
4.15. The curves were derived from Figures 2.10 to 2.17. Generally there was an
increase in the maximum dry density as the optimum total fluid content increased in Fig
4.8 while the maximum dry density decreased as the optimum total fluid content
increased in Figure 4.9 to 4.15. Generally, the compaction curves shifted to higher
optimum total fluid contents as a result of increase in oil contents (Appendix C4 and
C5).
105
Figure 4.8: Variation of dry density with total fluid content for metasedimentary soils
(Rahman et al, 2011), from Figure 2.10.
Figure 4.9: Variation of dry density with total fluid content for poorly graded sand
(Al Sanad et al, 1995), from Figure 2.11.
106
Figure 4.10: Variation of dry density with total fluid content for poorly graded sand
(Khamehchiyan et al , 2007), from Figure 2.12.
Figure 4.11: Variation of dry density with total fluid content for sand with 5 to 15% silt
(Khamehchiyan et al , 2007), from Figure 2.13.
107
Figure 4.12: Variation of dry density with total fluid content for low plasticity clay
(Khamehchiyan et al , 2007), from Figure 2.14.
Figure 4.13: Variation of dry density with total fluid content for basaltic grade V soils
Figure 4.14: Variation of dry density with total fluid content for basaltic grade VI soils
Figure 4.15: Variation of dry density with total fluid content for granitic sandy loam
The liquid limits of soils increased as oil contamination increased because more water
was added to disperse the soils, so that the soils could flow (Figure 4.16). The
compaction of the oil contaminated soil 1 to 5 showed that generally as the oil content
increased in the soil, the optimum water content decreased, accompanied by a reduction
in the maximum dry density. The reduction of the optimum water content of the soil
was because a low content of water was required to produce a dispersed flocculated soil
mixture that gave the maximum dry density. Oil content filled soil pores, hence, a lower
water content than that of the uncontaminated soil was required to fill more of the soil
pores at reduced maximum dry density. Generally, the more the oil content, the less the
water content required to reach the maximum dry density of a soil. However, for the
liquid limit, the soil was dispersed before it could flow and the presence of more oil
required more amount of water for the oil contaminated soil to be dispersed and flow.
The liquid limits and plastic limits increased as oil content increased in the bentonite-
show that generally as plasticity characteristics and optimum total fluid content
increased in the soils, the maximum dry density and optimum water content of the soils
decreased.
110
a. Soil 1 b. Soil 2
c. Soil 3 d. Soil 4.
e. Soil 5
Figure 4.16: Variation of maximum dry density with optimum water content, optimum
The hydraulic conductivity test was done for soils 1, 2, 3, 4 and 5 and the test was
because oil does not mix with water (Silverstein, 1998). The premise that water and oil
were immiscible was used in this study and flow rate was taken as that for water, hence,
in carrying out the test for this study, standard hydraulic conductivity equation was
used.
The variation of hydraulic conductivity with oil content is shown in Figure 4.25 and
Generally, the hydraulic conductivities of the soils decreased as the bentonite content
increased from soil 1 to 5. The decrease of the hydraulic conductivity was as a result of
the clay content in the soils. The bentonite content filled soil pores which resulted in
uncontaminated soils used by Ameta and Wayal (2008) and Gueddouda et al (2008) that
respectively. The hydraulic conductivities of this study were low in comparison with
The increase of oil content in the soils of this study resulted in a decrease in hydraulic
conductivity. The oil content filled the pores of the soils and limited the flow of water
through the soils. Each soil had further reduction in hydraulic conductivity as the oil
content increased because the oil content filled the pores of the soils along with the clay.
This study agreed with findings of Shin and Das (2000), Rojas et al (2003) and Chew
and Lee (2006). They stated that the presence of oil in soil results in reduced hydraulic
The type of bentonite used for this study resulted in decrease of hydraulic conductivity.
Wyoming bentonite is a sodium bentonite that has high expansive property, Gueddouda
earlier.
7
Dune sand - deposited hill of sand as a result of the movement of wind or water.
113
A criterion for evaluating the performance of soil liner for landfill is its hydraulic
conductivity. Nwaiwu et al (2009) stated that the hydraulic conductivity of soil liners
for landfills should be low (below 1 x 10-9 m/s). Generally, hydraulic conductivity tests
conducted on the samples showed that soils 3, 4 and 5 had hydraulic conductivities that
were close to 1 x 10-9 m/s (see Figure 4.17). The soils met the requirement for use as
Liquid limit increased in each of the five soils as oil content increased. The hydraulic
conductivity decreased as the liquid limits increased because there was increased
dispersion of the oil contaminated clay content of the soil in the presence of water
(Lambe, 1958). Dispersion of oil contaminated clay soil also resulted in a decrease in
hydraulic conductivity.
Liquid limit and plastic limits generally increased in the soils of this study because of
dispersion of soil in the presence of water. Soil dispersion is mainly caused by the
presence of sodium ions in the soil structure, not in the pore water. The use of sodium
bentonite that contained sodium ions contributed to the high liquid limits and low
hydraulic conductivity of the soils via soil dispersion. In contrast, the presence of
sodium ions in pore water caused an increase in the hydraulic conductivity of soil-
when clays come in contact with water, dispersion occurs as the force of attraction of
particles within the clay soils is reduced by the presence of water. The effect of
dispersion due to the bentonite and kaolinite in the soils of this study increased liquid
114
limits and reduced hydraulic conductivity, as the bentonite content increased from
Mineralogical content of the soil is a major factor that causes an increase in the
bentonite in soil. The effect of the expansion is increased dispersion of the clay soil;
consequently, the presence of bentonite in the soils caused an increase in the liquid limit
The presence of sodium in the mineralogy of bentonite caused its dispersion (Das,
2010), hence, the dispersed clay content of the soil resulted in increased liquid limits as
bentonite content increased in the soils from soil 1 to soil 5 and decreased hydraulic
conductivity in the soils as the dispersed clay plugged the soil pores.
The dispersed soil plugged the soil pores while the swelling of clay reduced soil pores
in the presence of water and this caused an increase in the liquid limits of the soils as
bentonite content increased from soil 1 to 5 and as oil content increased in each of the
soils.
The characteristics of the soils used in this study were influenced by the presence of
bentonite and kaolinite. Bentonite has a higher specific surface area than kaolinite. The
specific surface area of a soil is the total surface area of a soil per unit mass of the soil.
Liquid limits of the soils increased because there was much absorption of water, as a
large surface area of the clay soil was in contact with water. Furthermore, as more water
was added to the soil, the clay absorbed water, resulting in an increased liquid limit of
the soil.
115
The study showed that soils with higher plasticity characteristics had reduced hydraulic
conductivity. Figure 4.18 and Appendix F show that liquid limits of the soils increased
a. Soil 1 b. Soil 2
d. Soil 4
c. Soil 3
e. Soil 5
dry density and hydraulic conductivity reduced, while the optimum water content
increased (Chalermyanont and Arrykul, 2005). Generally, in the present study, the soils
had reduced maximum dry density, accompanied by increased optimum water content
of the soils had reduced maximum dry density as the oil contamination increased,
to the soil dispersed the oil flocculated soil during compaction, however, at the optimum
water content; there was a combination of dispersed and flocculated soil. The optimum
water content was attained at lower water content with increase of oil content in each
soil, because oil also filled the pores of the soil. This influenced the hydraulic
conductivity of the soils, as generally, the soils with lower maximum dry density
containing higher oil contents had lower hydraulic conductivity; hence, hydraulic
conductivity reduced with reduction of maximum dry density as a result of oil content.
This agreed with the observation of Chalermyanont and Arrykul (2005) that soils with
Hydraulic conductivity reduced because soft soil clods were present in the contaminated
soil. The soft soil clods were soft and easily compressible when the soils were
Figure 4.19 and Appendix G show that generally as maximum dry density and optimum
a. Soil 1 b. Soil 2
c. Soil 3 d. Soil 4
e. Soil 5
The experimental results shows that the aggregate size distribution curve of oil
contaminated soils 1, 2, 3 4 and 5 shifted from finer to coarser as oil content increased
indicating that oil reduced the fine aggregate of the soil while forming soft oily soil
clods. The low values of grading modulus of soils indicated that they could be used as
soil liners for landfill. The Atterberg limits tests showed that soil 1 and 2 had plasticity
index below 65%, that of soil 3 was close to 65%, while those of soil 4 and 5 were
above the aforementioned limit. Maximum dry density and optimum water content
reduced in the soils as oil content increased while the optimum total fluid content
increased from uncontaminated soil 1 to 5. Oil contamination also reduced the hydraulic
Appendix A to G show the results of this study. However, Table 4.2 is summary of this
study.
CHAPTER 5
kaolinite-sand mixtures. The study generated data on grading modulus, Atterberg limits,
compaction and hydraulic conductivity. Section 5.1, 5.2, 5.3 and 5.4 are conclusions on
mixtures.
The research showed that oil contamination shifted the aggregate size distribution curve
from finer to coarser in all the five soils (Figure 4.1). This implied that oil
contamination decreased the fine aggregate in the soil mixtures by forming soft oily soil
clods. The grading moduli of the five soils were below 2.0, hence, the soils could be
used as soil liners for landfills. However, grading modulus is not a sole criterion, as the
The Atterberg limits tests showed that oil contamination generally increased the
Atterberg limits of the five soils (Figure 4.4). The increase in bentonite content from
uncontaminated soil 1 to 5 caused an increase in the Atterberg limits of the soils, and
when each soil was contaminated by oil, the Atterberg limits generally increased
because more water was added for the soil to flow as oil content increased. The
plasticity index of the five soils generally increased as oil content increased in each soil.
121
Soils 1 and 2 had plasticity index below 65%, while soil 3 had plasticity index close to
65. Soil 3 is suitable as soil liner for landfill, as Ige (2010) specified that soils with
plasticity index of 65% are suitable as soil liners. There is difficulty in handling soils
The compaction tests showed that increase in oil content in each of the soil mixtures
resulted in a reduction of both maximum dry density and optimum water content. The
maximum dry density reduced in the soils due to the swelling nature of bentonite.
Furthermore, oil lubrication reduced the maximum dry density as oil filled the soil
pores. The oil in soil pores reduced the contact of water and soil, resulting in the
The hydraulic conductivity test for the five soils showed that increase in bentonite
of the soils. Oil contamination decreased the hydraulic conductivity in each of the five
soils because oil occupied soil pores. The oil used for this research had a very high
Soil mixtures that have hydraulic conductivity of less than 1 x 10-9 m/s are suitable for
soil liners. Generally, the hydraulic conductivity of soils 3, 4 and 5 were below 1 x 10-9
m/s.
122
A proper view of the findings of this research showed that there are some areas that will
It is recommended that sand and bentonite mixtures be used for further research.
Kaolinite was included because kaolinite reduced the liquid limit of bentonite along
with sand, however, sand-bentonite mixtures are still used as soil liners for landfills,
It is recommended that future study use oil of varied viscosities. The oil used for this
research had a viscosity index of 97, which was highly viscous. Oil content of lower
viscosity could be used because crude oil products are of varied viscosity.
123
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439-442.
AL-RAWAS, A., HASSAN, H. F., TAHA, R., HAGO, A., AL-SHANDOUDI, B. &
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BRITISH STANDARD, 1377. 1990. ‘Methods of test for soils for civil engineering
CHEW, S. & LEE, C. 2006. Simple shear behaviour of palm biodiesel contaminated
EVANS, J. C. 1993. Vertical cutoff walls. Geotechnical practice for waste disposal.
Springer.
FINE, P., GRABER, E. & YARON, B. 1997. Soil interactions with petroleum
FINGAS, M. 2010. Oil spill science and technology, Gulf professional publishing.
of using bentonite, lime and fly ash in permeable reactive barriers for acid
Limit of highly plastic clay by means of Casagrande and fall cone apparatus.
GUPTA, M., SRIVASTAVA, R. & SINGH, A. 2010. Bench scale treatability studies of
HEAD, K. H., & EPPS, R. 1980. Manual of soil laboratory testing, Pentech Press
London.
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LAMBE, T. W. 1958. The structure of compacted clay. Journal of the Soil Mechanics
119, 725-743.
211-218.
MSDS, 2011. China clay. Laguna Clay Company, California, United States of America.
PUSCH, R. 1992. Use of bentonite for isolation of radioactive waste products. Clay
293-300.
ROJAS, J., SALINAS, L. & GARNICA, I. 2003. Influence of the kinematic viscosity of
environment, Okayama, Japan, 28-30 May, 2003. Taylor & Francis, 373.
ROWE, P. W. & BARDEN, L. 1966. A new consolidation cell. Geotechnique, 16, 162-
170
SAPEM, 2011. South African pavement engineering manual. South African National
SHAPIRO, A. H., FRIEDMAN, J. & BERGMAN, R. 1988. Pressure Fields and Fluid
SILVERSTEIN, T. P. 1998. The real reason why oil and water don't mix. Journal of
kaolinite and quartz powder with water and NaCl solution. International Journal
TERZAGHI, K., Peck, RB., & Mesri, G. 1996. Soil mechanics in engineering practice,
WILBOURN, K., STUDENT, R., & VEMBU, K. 2007. Index Properties and Strength
of Artificial Soil Using the Harvard Miniature Method. Final Report, National
ZHENG, X., ZHANG, J., ZHENG, T., LIANG, C. & WANG, H. 2014. A developed
APPENDIX A
C u = D 60 /D 10 = 0.3/0.18 = 1.7
where D 1 = mass of density bottle and stopper; D 2 = mass of density bottle, soil and
stopper; D 3 = mass of density bottle, soil, water and stopper; D 4 = mass of density
A4 Hydrometer test
Rh = R h ’ + C m = R h ’ + 0.5
H R = 176 – 2.8 R h
R = R h + M t – x + 1.8 = R h – 0.7
135
test; Gs = the specific gravity of the specimen; t = time at which reading was taken
(min).
Where N = distance from the neck of hydrometer to lowest calibration mark; h = length
of hydrometer bulb (excluding the stem); H R = effective depth
A5.1 Soil 1
Table A5.1: Aggregate size distribution data for soil 1 (0.0% oil content).
Table A5.2: Aggregate size distribution data for soil 1 (1.8% oil content).
140
Table A5.3: Aggregate size distribution data for soil 1 (3.5% oil content).
Table A5.4: Aggregate size distribution data for soil 1 (5.3% oil content).
141
Table A5.5: Aggregate size distribution data for soil 1 (7.1% oil content).
A5.2 Soil 2
Table A5.6: Aggregate size distribution data for soil 2 (0.0% oil content).
142
Table A5.7: Aggregate size distribution data for soil 2 (1.8% oil content).
Table A5.8: Aggregate size distribution data for soil 2 (3.5% oil content).
143
Table A5.9: Aggregate size distribution data for soil 2 (5.3% oil content).
Table A5.10: Aggregate size distribution data for soil 2 (7.1% oil content).
144
A5.3 Soil 3
Table A5.11: Aggregate size distribution data for soil 3 (0.0% oil content).
Table A5.12: Aggregate size distribution data for soil 3 (1.8% oil content).
145
Table A5.13: Aggregate size distribution data for soil 3 (3.5% oil content).
Table A5.14: Aggregate size distribution data for soil 3 (5.3% oil content).
146
Table A5.15: Aggregate size distribution data for soil 3 (7.1% oil content).
A5.4 Soil 4
Table A5.16: Aggregate size distribution data for soil 4 (0.0% oil content).
147
Table A5.17: Aggregate size distribution data for soil 4 (1.8% oil content).
Table A5.18: Aggregate size distribution data for soil 4 (3.5% oil content).
148
Table A5.19: Aggregate size distribution data for soil 4 (5.3% oil content).
Table A5.20: Aggregate size distribution data for soil 4 (7.1% oil content).
149
A5.5 Soil 5
Table A5.21: Aggregate size distribution data for soil 5 (0.0% oil content).
Table A5.22: Aggregate size distribution data for soil 5 (1.8% oil content).
150
Table A5.23: Aggregate size distribution data for soil 5 (3.5% oil content).
Table A5.24: Aggregate size distribution data for soil 5 (5.3% oil content).
151
Table A5.25: Aggregate size distribution data for soil 5 (7.1% oil content).
152
A6 Grading modulus
A6.1 Soil 1
Percentage retained
Sieve
0.0% 1.8% 3.5% 5.3% 7.1%
2mm 0 3.74 3.82 3.27 7.1
0.425mm 4.5 12.26 22.06 27.24 35.36
0.075mm 0.2 0.2 0.1 0.3 0.001
A6.2 Soil 2
Percentage retained
Sieve
0.0% 1.8% 3.5% 5.3% 7.1%
2mm 0.4 1.1 0.4 1.2 2.3
0.425mm 13.07 13.43 14.56 27.54 33.68
0.075mm 0.05 0.04 0.2 0.14 0.05
A6.3 Soil 3
Percentage retained
Sieve
0.0% 1.8% 3.5% 5.3% 7.1%
2mm 0.4 0.6 0.7 1.7 3.63
0.425mm 7.44 13.01 12.91 23.99 42.98
0.075mm 0.1 0.05 0.05 0.2 0
A6.4 Soil 4
Percentage retained
Sieve
0.0% 1.8% 3.5% 5.3% 7.1%
2mm 0.25 0.45 0.98 0.83 3.04
0.425mm 2.01 4.63 9.63 36.49 64.43
0.075mm 0.2 0.45 0.24 0.5 0
A6.5 Soil 5
Percentage retained
Sieve
0.0% 1.8% 3.5% 5.3% 7.1%
2mm 0.25 1 0.78 1.29 7.27
0.425mm 3.13 8.5 17 38.32 66.76
0.075mm 0.4 0.8 0.29 0.05 0
APPENDIX B
Test number 1 2 3 4
Number of bumps 17 23 35 45
Mass of wet soil (g) 6.33 3.79 7.17 6.70
Mass of dry soil (g) 0.90 0.57 1.21 1.20
Water loss (g) 5.43 3.22 5.96 5.50
Water content (%) 603 565 493 458
Test number 1 2
Mass of wet soil (g) 8.97 8.96
Mass of dry soil (g) 5.40 5.40
Water loss (g) 3.56 3.56
Water content (%) 65.93 65.93
Plastic limit (average) 65.93
Plastic limit 66
Container number 1 2 3 4
Number of bumps 14 20 27 37
Mass of wet soil (g) 6.49 8.33 8.67 5.98
Mass of dry soil (g) 3.87 5.04 5.37 3.79
Water loss (g) 2.62 3.29 3.30 2.19
Water content (%) 67.70 65.27 61.45 57.78
Test number 1 2
Mass of wet soil (g) 8.23 9.30
Mass of dry soil (g) 6.22 7.04
Water loss (g) 2.01 2.26
Water content (%) 32.31 32.10
Plastic limit (average) 32.21
Plastic limit 32
Test number 1 2 3 4
Number of bumps 11 19 30 40
Mass of wet soil (g) 7.21 5.81 5.86 6.47
Mass of dry soil (g) 4.65 3.85 3.95 4.43
Water loss (g) 2.56 1.96 1.91 2.03
Water content (%) 55.05 50.91 48.35 45.82
Table B1.5: Liquid limit data for soil 1(0% oil content).
Test number 1 2
Mass of wet soil (g) 7.90 14.38
Mass of dry soil (g) 7.00 12.74
Water loss (g) 0.90 1.64
Water content (%) 12.85 12.87
Plastic limit (average) 12.86
Plastic limit 13
Table B1.6: Plastic limit data for soil (0.0% oil content).
157
Test number 1 2 3 4
Number of bumps 14 23 35 47
Table B1.7: Liquid limit data for soil 1(1.8% oil content).
Test number 1 2
Mass of wet soil (g) 7.58 11.72
Mass of dry soil (g) 6.61 10.22
Water loss (g) 0.97 1.50
Water content (%) 14.67 14.67
Plastic limit (average) 14.67
Plastic limit 15
Table B1.8: Plastic limit data for soil (1.8% oil content).
158
Test number 1 2 3 4
Number of bumps 11 22 35 49
Mass of wet soil (g) 5.68 6.17 5.33 7.84
Mass of dry soil (g) 3.57 4.02 3.55 5.39
Water loss (g) 2.11 2.15 1.78 2.45
Water content (%) 59.10 53.48 50.14 45.45
Table B1.9: Liquid limit data for soil 1(3.5% oil content).
Test number 1 2
Mass of wet soil (g) 11.73 11.73
Mass of dry soil (g) 10.16 10.16
Water loss (g) 1.57 1.57
Water content (%) 15.45 15.45
Plastic limit (average) 15.45
Plastic limit 15
Table B1.10: Plastic limit data for soil (3.5% oil content).
159
Test number 1 2 3 4
Number of bumps 14 22 30 40
Mass of wet soil (g) 4.06 5.59 3.83 5.83
Mass of dry soil (g) 2.56 3.66 2.57 3.95
Water loss (g) 1.50 1.93 1.26 1.88
Water content (%) 58.59 52.73 49.02 47.59
Table B1.11: Liquid limit data for soil 1 (5.3% oil content).
Test number 1 2
Mass of wet soil (g) 9.36 11.13
Mass of dry soil (g) 8.11 9.62
Water loss (g) 1.25 1.51
Water content (%) 15.41 15.69
Plastic limit (average) 15.55
Plastic limit 16
Table B1.12: Plastic limit data for soil (6% oil content).
160
Test number 1 2 3 4
Number of bumps 12 20 30 42
Mass of wet soil (g) 4.45 5.85 4.91 3.86
Mass of dry soil (g) 2.78 3.69 3.12 2.51
Water loss (g) 1.67 2.16 1.79 1.35
Water content (%) 60.07 58.53 57.37 53.78
Table B1.13: Liquid limit data for soil 1 (7.1% oil content).
Test number 1 2
Mass of wet soil (g) 9.32 11.98
Mass of dry soil (g) 8.03 10.35
Water loss (g) 1.29 1.63
Water content (%) 16.06 15.74
Plastic limit (average) 15.90
Plastic limit 16
Table B1.14: Plastic limit data for soil 1 (7.1% oil content).
161
Test number 1 2 3 4
Number of bumps 11 23 30 40
Mass of wet soil (g) 4.43 4.17 5.20 7.14
Mass of dry soil (g) 2.44 2.35 3.09 4.28
Water loss (g) 1.99 1.82 2.11 2.86
Water content (%) 81.55 77.40 68.28 66.82
Table B1.15: Liquid limit data for soil 2 (0.0% oil content).
Test number 1 2
Mass of wet soil (g) 11.09 11.09
Mass of dry soil (g) 9.46 9.46
Water loss (g) 1.63 1.63
Water content (%) 17.23 17.23
Plastic limit (average) 17.23
Plastic limit 17
Table B1.16: Plastic limit data for soil 2 (0.0% oil content).
162
Test number 1 2 3 4
Number of bumps 12 20 32 44
Mass of wet soil (g) 4.61 3.65 5.34 5.05
Mass of dry soil (g) 2.60 2.13 3.15 3.01
Water loss (g) 2.01 1.52 2.19 2.04
Water content (%) 77.30 71.36 69.52 67.77
Table B1.17: Liquid limit data for soil 2 (1.8% oil content).
Test number 1 2
Mass of wet soil (g) 8.15 8.93
Mass of dry soil (g) 6.95 7.61
Water loss (g) 1.20 1.32
Water content (%) 17.26 17.34
Plastic limit (average) 17.30
Plastic limit 17
Table B1.18: Plastic limit data for soil 2 (1.8% oil content).
163
Test number 1 2 3 4
Number of bumps 12 20 32 42
Mass of wet soil (g) 6.20 4.47 4.66 4.43
Mass of dry soil (g) 3.48 2.53 2.77 2.64
Water loss (g) 2.72 1.94 1.89 1.79
Water content (%) 78.16 76.67 68.23 67.80
Table B1.19: Liquid limit data for soil 2 (3.5% oil content).
Test number 1 2
Mass of wet soil (g) 9.14 8.24
Mass of dry soil (g) 7.77 7.01
Water loss (g) 1.37 1.23
Water content (%) 17.63 17.55
Plastic limit (average) 17.59
Plastic limit 18
Table B1.20: Plastic limit data for soil 2 (3.5% oil content).
164
Test number 1 2 3 4
Number of bumps 11 21 31 48
Mass of wet soil (g) 4.07 5.14 3.09 5.94
Mass of dry soil (g) 2.26 2.86 1.74 3.51
Water loss (g) 1.81 2.28 1.35 2.43
Water content (%) 80.09 79.72 77.58 69.23
Table B1.21: Liquid limit data for soil 2 (5.3% oil content).
Test number 1 2
Mass of wet soil (g) 9.18 9.05
Mass of dry soil (g) 7.80 7.70
Water loss (g) 1.38 1.35
Water content (%) 17.69 17.53
Plastic limit (average) 17.61
Plastic limit 18
Table B1.22: Plastic limit data for soil 2 (5.3% oil content).
165
Test number 1 2 3 4
Number of bumps 13 23 32 43
Mass of wet soil (g) 5.87 5.23 3.66 6.23
Mass of dry soil (g) 3.28 2.99 2.11 3.65
Water loss (g) 2.59 2.24 1.55 2.58
Water content (%) 78.96 74.92 73.46 70.68
Table B1.23: Liquid limit data for soil 2 (7.1% oil content).
Test number 1 2
Mass of wet soil (g) 9.38 10.96
Mass of dry soil (g) 7.96 9.30
Water loss (g) 1.42 1.66
Water content (%) 17.83 17.83
Plastic limit (average) 17.83
Plastic limit 18
Table B1.24: Plastic limit data for soil 2 (7.1% oil content).
166
Test number 1 2 3 4
Number of bumps 12 23 39 49
Mass of wet soil (g) 6.94 5.05 4.77 4.75
Mass of dry soil (g) 3.67 2.71 2.60 2.59
Water loss (g) 3.27 2.34 2.17 2.16
Water content (%) 89.00 86.35 83.46 83.40
Table B1.25: Liquid limit data for soil 3 (0.0% oil content).
Test number 1 2
Mass of wet soil (g) 9.66 9.92
Mass of dry soil (g) 8.16 8.38
Water loss (g) 1.50 1.54
Water content (%) 18.38 18.38
Plastic limit (average) 18.38
Plastic limit 18
Table B1.26: Plastic limit data for soil 3 (0.0% oil content).
167
Test number 1 2 3 4
Number of bumps 11 20 37 47
Mass of wet soil (g) 5.42 4.76 4.59 4.89
Mass of dry soil (g) 2.82 2.53 2.47 2.65
Water loss (g) 2.60 2.23 2.12 2.24
Water content (%) 92.20 88.14 85.83 84.53
Table B1.27: Liquid limit data for soil 3 (1.8% oil content).
Test number 1 2
Mass of wet soil (g) 14.86 6.99
Mass of dry soil (g) 12.49 5.85
Water loss (g) 2.37 1.14
Water content (%) 18.98 19.48
Plastic limit (average) 19.24
Plastic limit 19
Table B1.28: Plastic limit data for soil 3 (1.8% oil content).
168
Test number 1 2 3 4
Number of bumps 12 23 35 45
Mass of wet soil (g) 7.37 4.61 6.62 6.01
Mass of dry soil (g) 3.62 2.43 3.50 3.24
Water loss (g) 3.75 2.18 3.12 2.77
Water content (%) 103.59 89.71 89.14 85.49
Table B1.29: Liquid limit data for soil 3 (3.5% oil content).
Test number 1 2
Mass of wet soil (g) 9.21 10.49
Mass of dry soil (g) 7.64 8.70
Water loss (g) 1.57 1.79
Water content (%) 20.55 20.57
Plastic limit (average) 20.56
Plastic limit 21
Table B1.30: Plastic limit data for soil 3 (3.5% oil content).
169
Test number 1 2 3 4
Number of bumps 13 24 35 49
Mass of wet soil (g) 6.26 4.51 5.50 4.99
Mass of dry soil (g) 3.13 2.34 3.02 2.76
Water loss (g) 3.13 2.17 2.48 2.23
Water content (%) 100 92.73 82.11 80.80
Table B1.31: Liquid limit data for soil 3 (5.3% oil content).
Test number 1 2
Mass of wet soil (g) 9.14 9.48
Mass of dry soil (g) 7.50 7.80
Water loss (g) 1.64 1.68
Water content (%) 21.86 21.53
Plastic limit (average) 21.70
Plastic limit 22
Table B1.32: Plastic limit data for soil 3 (5.3% oil content).
170
Test number 1 2 3 4
Number of bumps 14 24 37 47
Mass of wet soil (g) 4.20 3.88 5.59 3.25
Mass of dry soil (g) 2.09 1.98 2.92 1.71
Water loss (g) 2.11 1.90 2.67 1.54
Water content (%) 100.90 95.96 91.43 90.05
Table B1.33: Liquid limit data for soil 3 (7.1% oil content).
Test number 1 2
Mass of wet soil (g) 8.60 10.06
Mass of dry soil (g) 7.00 8.20
Water loss (g) 1.60 1.86
Water content (%) 22.85 22.68
Plastic limit (average) 22.78
Plastic limit 23
Table B1.34: Plastic limit data for soil 3 (7.1% oil content).
171
Test number 1 2 3 4
Number of bumps 12 17 38 47
Mass of wet soil (g) 7.13 4.73 7.28 6.44
Mass of dry soil (g) 3.56 2.38 3.71 3.30
Water loss (g) 3.57 2.35 3.57 3.14
Water content (%) 100.28 98.74 96.22 95.15
Table B1.35: Liquid limit data for soil 4 (0.0% oil content).
Test number 1 2
Mass of wet soil (g) 11.46 9.82
Mass of dry soil (g) 9.57 8.20
Water loss (g) 1.89 1.62
Water content (%) 19.74 19.76
Plastic limit (average) 19.75
Plastic limit 20
Table B1.36: Plastic limit data for soil 4 (0.0% oil content).
172
Test number 1 2 3 4
Number of bumps 13 21 35 45
Mass of wet soil (g) 8.07 5.53 7.34 5.50
Mass of dry soil (g) 3.82 2.74 3.87 2.91
Water loss (g) 4.25 2.79 3.47 2.59
Water content (%) 111.23 101.82 89.66 89.00
Table B1.37: Liquid limit data for soil 4 (1.8% oil content).
Test number 1 2
Mass of wet soil (g) 10.68 10.68
Mass of dry soil (g) 8.89 8.89
Water loss (g) 1.79 1.79
Water content (%) 20.13 20.13
Plastic limit (average) 20.13
Plastic limit 20
Table B1.38: Plastic limit data for soil 4 (1.8% oil content).
173
Container number 1 2 3 4
Number of bumps 13 22 32 46
Mass of wet soil (g) 5.75 7.99 6.81 5.81
Mass of dry soil (g) 2.72 3.89 3.42 3.04
Water loss (g) 3.03 4.10 3.39 2.77
Water content (%) 111.39 105.40 99.12 91.12
Table B1.39: Liquid limit data for soil 4 (3.5% oil content).
Test number 1 2
Mass of wet soil (g) 11.08 10.14
Mass of dry soil (g) 9.08 8.31
Water loss (g) 2.00 1.83
Water content (%) 22.02 22.02
Plastic limit (average) 22.02
Plastic limit 22
Table B1.40: Plastic limit data for soil 4 (3.5% oil content).
174
Test number 1 2 3 4
Number of bumps 12 20 37 45
Mass of wet soil (g) 5.40 8.22 7.06 6.16
Mass of dry soil (g) 2.53 3.94 3.39 2.96
Water loss (g) 2.87 4.28 3.67 3.20
Water content (%) 113.44 108.63 108.26 108.12
Table B1.41: Liquid limit data for soil 4 (5.3% oil content).
Test number 1 2
Mass of wet soil (g) 10.31 12.07
Mass of dry soil (g) 8.44 9.88
Water loss (g) 1.87 2.19
Water content (%) 22.16 22.17
Plastic limit (average) 22.17
Plastic limit 22
Table B1.42: Plastic limit data for soil 4 (5.3% oil content).
175
Test number 1 2 3 4
Number of bumps 13 22 35 45
Mass of wet soil (g) 7.03 5.15 5.27 5.03
Mass of dry soil (g) 3.05 2.28 2.37 2.28
Water loss (g) 3.98 2.87 2.90 2.75
Water content (%) 130.49 125.87 122.36 120.61
Table B1.43: Liquid limit data for soil 4 (7.1% oil content).
Test number 1 2
Mass of wet soil (g) 10.04 12.70
Mass of dry soil (g) 8.14 10.46
Water loss (g) 1.90 2.44
Water content (%) 23.34 23.33
Plastic limit (average) 23.34
Plastic limit 23
Table B1.44: Plastic limit data for soil 4 (7.1% oil content).
176
Test number 1 2 3 4
Number of bumps 14 22 35 45
Mass of wet soil (g) 8.19 8.06 7.40 5.87
Mass of dry soil (g) 3.58 3.58 3.36 2.72
Water loss (g) 4.61 4.48 4.04 3.15
Water content (%) 128.77 125.14 120.24 115.81
Table B1.45: Liquid limit data for soil 5 (0.0% oil content).
Test number 1 2
Mass of wet soil (g) 10.80 11.18
Mass of dry soil (g) 8.83 9.14
Water loss (g) 1.97 2.04
Water content (%) 22.31 22.32
Plastic limit (average) 22.32
Plastic limit 22
Table B1.46: Plastic limit data for soil 5 (0.0% oil content).
177
Test number 1 2 3 4
Number of bumps 14 22 36 42
Mass of wet soil (g) 7.24 6.09 5.94 5.45
Mass of dry soil (g) 3.12 2.65 2.67 2.51
Water loss (g) 4.12 3.44 3.27 2.94
Water content (%) 132.05 129.81 122.47 117.13
Table B1.47: Liquid limit data for soil 5 (1.8% oil content).
Test number 1 2
Mass of wet soil (g) 12.29 10.10
Mass of dry soil (g) 2.30 8.21
Water loss (g) 9.99 1.89
Water content (%) 23.02 23.02
Plastic limit (average) 23.02
Plastic limit 23
Table B1.48: Plastic limit data for soil 5 (1.8% oil content).
178
Test number 1 2 3 4
Number of bumps 12 20 38 47
Mass of wet soil (g) 6.52 5.93 5.82 7.63
Mass of dry soil (g) 2.83 2.58 2.55 3.35
Water loss (g) 3.69 3.35 3.27 4.28
Water content (%) 130.38 129.84 128.23 127.76
Table B1.49: Liquid limit data for soil 5 (3.5% oil content).
Test number 1 2
Mass of wet soil (g) 12.25 9.32
Mass of dry soil (g) 9.91 7.54
Water loss (g) 2.34 1.78
Water content (%) 23.61 23.60
Plastic limit (average) 23.61
Plastic limit 24
Table B1.50: Plastic limit data for soil 5 (3.5% oil content).
179
Test number 1 2 3 4
Number of bumps 13 22 35 44
Mass of wet soil (g) 7.33 5.56 6.47 5.60
Mass of dry soil (g) 3.12 2.37 2.76 2.39
Water loss (g) 4.21 3.19 3.71 3.21
Water content (%) 134.94 134.60 134.42 134.31
Table B1.51: Liquid limit data for soil 5 (5.3% oil content).
Test number 1 2
Mass of wet soil (g) 10.76 10.97
Mass of dry soil (g) 8.70 8.87
Water loss (g) 2.06 2.10
Water content (%) 23.67 23.68
Plastic limit (average) 23.68
Plastic limit 24
Table B1.52: Plastic limit data for soil 5 (5.3% oil content).
180
Test number 1 2 3 4
Number of bumps 12 22 35 47
Mass of wet soil (g) 8.95 6.45 5.75 5.80
Mass of dry soil (g) 3.78 2.74 2.45 2.48
Water loss (g) 5.17 3.71 3.30 3.32
Water content (%) 136.77 135.40 134.69 133.87
Table B1.53: Liquid limit data for soil 5 (7.1% oil content).
Test number 1 2
Mass of wet soil (g) 8.98 12.72
Mass of dry soil (g) 7.25 10.27
Water loss (g) 1.73 2.45
Water content (%) 23.86 23.86
Plastic limit (average) 23.86
Plastic limit 24
Table B1.54: Plastic limit data for soil 5 (7.1% oil content).
181
Oil mixed into 250g of soil, some amount of the contaminated soil was put into a
container and oven dried at 105 degree celsius for 24 hours
Table B2.6: Oil loss (g) per mass of oil (g) in soil, in percentage
183
Table B4: Total fluid content at Atterberg limits and plasticity index of soils
185
APPENDIX C
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6345 6397 6472 6489 6460
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1955 2007 2082 2099 2070
Bulk density (g/cm3) 1.955 2.007 2.082 2.099 2.070
Water content (%) 9 10 11 12 13
Total fluid content (%) 9 10 11 12 13
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6231 6298 6443 6459 6441
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1841 1908 2053 2069 2051
Bulk density (g/cm3) 1.841 1.908 2.053 2.069 2.051
Water content (%) 5 7 10 11 12
Total fluid content (%) 6.8 8.8 11.8 12.8 13.8
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6283 6329 6427 6462 6434
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1894 1939 2037 2072 2044
Bulk density (g/cm3) 1.894 1.939 2.037 2.072 2.044
Water content (%) 5 7 8 10 11
Total fluid content (%) 8.5 10.5 11.5 13.5 14.5
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6344 6419 6442 6452 6419
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1954 2029 2052 2062 2029
Bulk density (g/cm3) 1.954 2.029 2.052 2.062 2.029
Water content (%) 6 8 9 10 11
Total fluid content (%) 11.3 13.3 14.3 15.3 16.3
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6299 6321 6360 6388 6391
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1909 1931 1970 1998 2001
3
Bulk density (g/cm ) 1.909 1.931 1.970 1.998 2.001
Water content (%) 2 3 4 6 7
Total fluid content (%) 9.1 10.1 11.1 13.1 14.1
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6255 6374 6491 6508 6420
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1865 1984 2101 2118 2030
Bulk density (g/cm3) 1.865 1.984 2.101 2.118 2.03
Water content (%) 7 8 11 12 13
Total fluid content (%) 7 8 11 12 13
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6374 6409 6464 6455 6450
Mould + base plate
(g) 4390 4390 4390 4390 4390
Mass of soil (g) 1984 2019 2074 2065 2060
3
Bulk density (g/cm ) 1.984 2.019 2.074 2.065 2.060
Water content (%) 9 10 11 12 13
Total fluid content
(%) 10.8 11.8 12.8 13.8 14.8
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6291 6377 6415 6464 6434
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1901 1987 2025 2074 2044
Bulk density (g/cm3) 1.901 1.987 2.025 2.074 2.044
Water content (%) 6 7 8 10 11
Total fluid content (%) 9.5 10.5 11.5 13.5 14.5
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6366 6387 6436 6438 6392
Mould + base plate
(g) 4390 4390 4390 4390 4390
Mass of soil (g) 1976 1997 2046 2048 2002
Bulk density (g/cm3) 1.976 1.997 2.046 2.048 2.002
Water content (%) 7 8 10 11 12
Total fluid content
(%) 12.3 13.3 15.3 16.3 17.3
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6285 6343 6385 6400 6417
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1895 1953 1995 2010 2027
Bulk density (g/cm3) 1.895 1.953 1.995 2.01 2.027
Water content (%) 4 5 7 8 10
Total fluid content (%) 11.1 12.1 14.1 15.1 17.1
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6262 6315 6385 6417 6395
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1872 1925 1995 2027 2005
Bulk density (g/cm3) 1.872 1.925 1.995 2.027 2.005
Water content (%) 8 9 10 11 12
Total fluid content (%) 8 9 10 11 12
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6306 6369 6406 6404 6401
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1916 1979 2016 2014 2011
Bulk density (g/cm3) 1.916 1.979 2.016 2.014 2.011
Water content (%) 8 9 10 11 12
Total fluid content (%) 9.8 10.8 11.8 12.8 13.8
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6238 6283 6395 6414 6400
Mould + base plate
(g) 4390 4390 4390 4390 4390
Mass of soil (g) 1848 1893 2005 2024 2010
Bulk density (g/cm3) 1.848 1.893 2.005 2.024 2.010
Water content (%) 6 7 9 10 12
Total fluid content (%) 9.5 10.5 12.5 13.5 15.5
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6241 6319 6368 6411 6375
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1851 1929 1978 2021 1985
Bulk density (g/cm3) 1.851 1.929 1.978 2.021 1.985
Water content (%) 5 7 8 10 12
Total fluid content (%) 10.3 12.3 13.3 15.3 17.3
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6297 6352 6375 6386 6373
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1907 1962 1985 1996 1983
Bulk density (g/cm3) 1.907 1.962 1.985 1.996 1.983
Water content (%) 4 6 7 8 9
Total fluid content (%) 11.1 13.1 14.1 15.1 16.1
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6197 6245 6358 6320 6300
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1807 1855 1968 1930 1910
3
Bulk density (g/cm ) 1.807 1.855 1.968 1.930 1.910
Water content (%) 6 8 12 13 14
Total fluid content (%) 6 8 12 13 14
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6236 628 6340 6334 6308
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1846 1897 1950 1944 1918
Bulk density (g/cm3) 1.846 1.897 1.950 1.944 1.918
Water content (%) 8 9 11 12 13
Total fluid content (%) 9.8 10.8 12.8 13.8 14.8
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6237 6271 6298 6360 6325
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1847 1881 1908 1970 1935
Bulk density (g/cm3) 1.847 1.881 1.908 1.970 1.935
Water content (%) 7 8 9 11 12
Total fluid content (%) 10.5 11.5 12.5 14.5 15.5
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6205 6270 6329 6364 6366
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1815 1880 1939 1974 1976
3
Bulk density (g/cm ) 1.815 1.880 1.939 1.974 1.976
Water content (%) 4 6 8 10 12
Total fluid content (%) 9.3 11.3 13.3 15.3 17.3
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6255 6282 6306 6339 6369
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil ( g ) 1815 1880 1939 1974 1976
Bulk density (g/cm3) 1.865 1.892 1.916 1.949 1.979
Water content (%) 3 4 5 7 9
Total fluid content (%) 10.1 11.1 12.1 14.1 16.1
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6204 6282 6349 6372 6361
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6260 6294 6321 6327 6340
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1870 1904 1931 1937 1950
Bulk density (g/cm3) 1.870 1.904 1.931 1.937 1.95
Water content (%) 9 10 11 12 13
Total fluid content (%) 10.8 11.8 12.8 13.8 14.8
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6253 6281 6337 6318 6300
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1863 1891 1947 1928 1910
Bulk density (g/cm3) 1.863 1.891 1.947 1.928 1.910
Water content (%) 9 10 12 13 14
Total fluid content (%) 12.5 13.5 15.5 16.5 17.5
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6290 6317 6345 6339 6322
Mould + base plate
(g) 4390 4390 4390 4390 4390
Mass of soil (g) 1990 1927 1955 1949 1932
Bulk density (g/cm3) 1.900 1.927 1.955 1.949 1.932
Water content (%) 9 10 11 13 14
Total fluid content
(%) 14.3 15.3 16.3 18.3 19.3
Data 1 2 3 4 5
Soil + mould + base
plate (g) 6290 6314 6334 6345 6352
Mould + base plate (g) 4390 4390 4390 4390 4390
Mass of soil (g) 1900 1924 1944 1955 1962
Bulk density (g/cm3) 1.900 1.924 1.944 1.955 1.962
Water content (%) 8 9 10 11 12
Total fluid content (%) 15.1 16.1 17.1 18.1 19.1
Optimum water
Optimum water
Optimum water
Optimum water
Optimum water
Oil content (%)
density (g/cm3)
density (g/cm3)
density (g/cm3)
density (g/cm3)
density (g/cm3)
Maximum dry
Maximum dry
Maximum dry
Maximum dry
Maximum dry
content (%)
content (%)
content (%)
content (%)
content (%)
0.0 1.880 11.4 1.896 11.7 1.828 11.0 1.757 12.0 1.734 13.0
1.8 1.840 10.1 1.839 11.0 1.804 10.4 1.729 11.0 1.712 11.4
3.5 1.838 9.1 1.830 9.8 1.786 9.6 1.722 10.9 1.688 11.8
5.3 1.798 8.9 1.775 10.0 1.756 9.0 1.714 9.2 1.680 11.4
7.1 1.774 4.4 1.748 7.0 1.740 7.0 1.712 6.4 1.660 10.0
Table C2: Variation of maximum dry density with optimum water content of soils.
Optimum total
Optimum total
Optimum total
Optimum total
Optimum total
density (g/cm3)
density (g/cm3)
density (g/cm3)
density (g/cm3)
density (g/cm3)
Maximum dry
Maximum dry
Maximum dry
Maximum dry
Maximum dry
0.0 1.880 11.4 1.896 11.7 1.828 11.0 1.757 12.0 1.734 13.0
1.8 1.840 11.9 1.839 12.8 1.804 12.2 1.729 12.8 1.712 13.2
3.5 1.838 12.6 1.830 13.3 1.786 13.1 1.722 14.4 1.688 15.3
5.3 1.798 14.2 1.775 15.3 1.756 14.3 1.714 14.5 1.680 16.7
7.1 1.774 11.5 1.748 14.1 1.740 14.1 1.712 13.5 1.660 17.1
Table C3: Variation of maximum dry density with optimum total fluid content of soils.
196
Table C4: Variation of maximum dry density with optimum water content of soils used
by some previous researchers.
197
Table C5: Variation of maximum dry density with optimum total fluid content of soils
used by some previous researchers.
198
APPENDIX D
Optimum Optimum
Oil Maximum Liquid Plastic Plasticity
water fluid
content dry density limit Limit index
content Content
(%) (%) (%) (%) (%)
(%) (%)
0.0 1.880 11.4 11.4 48 13 35
1.8 1.840 10.1 11.9 50 15 35
3.5 1.838 9.1 12.6 52 15 37
5.3 1.798 8.9 14.2 54 16 38
7.1 1.774 4.4 11.5 58 16 42
Optimum Optimum
Oil Maximum Liquid Plastic Plasticity
water fluid
content dry density limit Limit index
content content
(%) (g/cm3) (%) (%) (%)
(%) (%)
0.0 1.896 11.7 11.7 73 17 56
1.8 1.839 11.0 12.8 74 17 57
3.5 1.830 9.8 13.3 76 18 58
5.3 1.775 10.0 15.3 77 18 59
7.1 1.748 7.0 14.1 78 18 60
APPENDIX E
HYDRAULIC CONDUCTIVITY
Table E1.1: Quantity of flow, Q (ml) in 5 mins for soil 1 (0.0% oil content).
* Q interval (mm3) was divided by 1000 to obtain Q interval (ml).
Table E1.2: Quantity of flow, Q (ml) in 5 mins for soil 1 (1.8% oil content).
201
Table E1.3: Quantity of flow, Q (ml) in 5 mins for soil 1 (3.5% oil content).
Table E1.4: Quantity of flow, Q (ml) in 5 mins for soil 1 (5.3% oil content).
Table E1.5: Quantity of flow, Q (ml) in 10 mins for soil 1 (7.1% oil content).
202
Table E1.6: Quantity of flow, Q (ml) in 5 mins for soil 2 (0.0% oil content).
Table E1.7: Quantity of flow, Q (ml) in 5 mins for soil 2 (1.8% oil content).
Table E1.8: Quantity of flow, Q (ml) in 5 mins for soil 2 (3.5% oil content).
203
Table E1.9: Quantity of flow, Q (ml) in 5 mins for soil 2 (5.3% oil content).
Table E1.10: Quantity of flow, Q (ml) in 10 mins for soil 2 (7.1% oil content).
204
Table E1.11: Quantity of flow, Q (ml) in 5 mins for soil 3 (0.0% oil content).
Table E1.12: Quantity of flow, Q (ml) in 5 mins for soil 3 (1.8% oil content).
Table E1.13: Quantity of flow, Q (ml) in 5 mins for soil 3 (3.5% oil content).
205
Table E1.14: Quantity of flow, Q (ml) in 5 mins for soil 3 (5.3% oil content).
Table E1.15: Quantity of flow, Q (ml) in 10 mins for soil 3 (7.1% oil content).
206
Table E1.16: Quantity of flow, Q (ml) in 5 mins for soil 4 (0.0% oil content).
Table E1.17: Quantity of flow, Q (ml) in 5 mins for soil 4 (1.8% oil content).
Table E1.18: Quantity of flow, Q (ml) in 5 mins for soil 4 (3.5% oil content).
207
Table E1.19: Quantity of flow, Q (ml) in 10 mins for soil 4 (5.3% oil content).
Table E1.20: Quantity of flow, Q (ml) in 10 mins for soil 4 (7.1% oil content).
208
Table E1.21: Quantity of flow, Q (ml) in 5 mins for soil 5 (0.0% oil content).
Table E1.22: Quantity of flow, Q (ml) in 5 mins for soil 5 (1.8% oil content).
Table E1.23: Quantity of flow, Q (ml) in 5 mins for soil 5 (3.5% oil content).
209
Table E1.24: Quantity of flow, Q (ml) in 10 mins for soil 5 (5.3% oil content).
Table E1.25: Quantity of flow, Q (ml) in 20 mins for soil 5 (7.1% oil content).
1.8 2.49 x 10-9 1.64 x 10-9 8.21 x 10-10 5.94 x 10-10 3.78 x 10-10
3.5 1.25 x 10-9 8.21 x 10-10 3.46 x 10-10 2.16 x 10-10 1.24 x 10-10
5.3 1.51 x 10-10 8.64 x 10-11 4.32 x 10-11 1.62 x 10-11 1.08 x 10-11
7.1 1.62 x 10-11 1.08 x 10-11 5.40 x 10-12 3.60 x 10-12 2.70 x 10-12
APPENDIX F
Hydraulic
Oil content Liquid limit Plastic Limit Plasticity index
conductivity
(%) (%) (%) (%)
(m/s)
0.0 3.35 x 10-9 48 13 35
1.8 2.49 x 10-9 50 15 35
3.5 1.25 x 10-9 52 15 37
5.3 1.51 x 10-10 54 16 38
7.1 1.62 x 10-11 58 16 42
Hydraulic
Liquid limit Plastic Limit Plasticity index
Oil content conductivity
(%) (%) (%)
(m/s)
(%)
0.0 2.24 x 10-9 73 17 56
1.8 1.64 x 10-9 74 17 57
3.5 8.21 x 10-10 76 18 58
5.3 8.64 x 10-11 77 18 59
7.1 -11 78 18 60
1.08 x 10
Hydraulic
Oil content Liquid limit Plastic Plasticity index
conductivity
(%) (%) Limit (%) (%)
(m/s)
0.0 1.08 x 10-9 85 18 67
1.8 8.21 x 10-10 87 19 68
3.5 3.46 x 10-10 90 21 69
5.3 4.32 x 10-11 92 22 70
7.1 5.40 x 10-12 94 23 71
APPENDIX G