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Hard Rock Tunnel Boring Vol. 3 - Advance Rate and Cutter Wear
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Amund Bruland
Norwegian University of Science and Technology
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Amund Bruland
Vol. 3 of 10
NTNU Trondheim
Norwegian University of
Science and Technology
Doctoral thesis
for the degree of doktor ingeniør
Faculty of Engineering Science
and Technology
Department of Civil and
Transport Engineering
PREFACE 1
0 GENERAL 3
1 PARAMETERS 6
1.0 Introduction 6
2.0 Introduction 14
2.1 Fracturing 16
3 CUTTER LIFE 27
3.0 Introduction 27
4.0 Introduction 33
APPENDICES 41
A. Previous Editions 41
B. Research Partners 42
C. List of Parameters 43
D. Estimation Forms 46
PREFACE
The report is one of six reports about hard rock tunnel boring:
Combined with the other reports in the Project Report Series from the Department of
Building and Construction Engineering at NTNU, the reports present an updated and
systematised material on rock excavation and tunnelling to be used for:
•= Economic dimensioning
•= Choice of alternative
•= Time planning
•= Cost estimates, tender, budgeting and cost control
•= Choice of excavation method and equipment.
A list of available Project Reports may be requested from the Department of Building
and Construction Engineering at NTNU.
The advance rate, cutter wear and excavation cost models also exist as a WINDOWS
programme.
The report is prepared by Amund Bruland and is part of his dr.ing thesis about
hard rock tunnel boring.
The reports listed above describe a comprehensive model developed at NTNU. The
model covers the complete tunnel boring process from the early planning stage
1
PREFACE
through preinvestigations, time and cost estimates, tunnel excavation and finally ac-
quisition and treatment of experience data. The models and data presented in the
reports are meant to be a practical tool for owners, consultants and contractors,
more than a theoretical analysis of the tunnel boring process.
The project has been granted financial support by our external research partners, see
list in Appendix.
Odd Johannessen
Professor
2
0. GENERAL 0.1 Project Reports about Hard Rock Tunnel Boring
1B-98
The report provides methods and necessary data for estimation of time consump-
tion and cutter wear for tunnel boring. Geological parameters and machine factors
of significance for the penetration rate and the cutter wear are presented briefly.
Project Report 1B-98 is a revised and updated version of parts of the Project Reports
1-76, 1-79, 1-83, 1-88 and 1-94, all published by the Department of Building and
Construction Engineering at NTNU.
Other Reports
The Project Report 1A-98 HARD ROCK TUNNEL BORING Design and Con-
struction describes general design parameters such as tunnel profile, tunnel inclina-
tion and curve radius. Some features of various tunnel types like water, sewage, road
and rail tunnels are treated. Transport, ventilation and other necessary service systems
are presented.
The Project Report 1C-98 HARD ROCK TUNNEL BORING Costs presents
models and data for estimation of tunnel excavation costs and total construction costs.
3
0. GENERAL 0.1 Project Reports about Hard Rock Tunnel Boring
The Project Report 1D-98 HARD ROCK TUNNEL BORING Geology and Pre-
investigations treats the rock mass parameters of the model in more detail. Preinves-
tigations and building of an engineering geological model adapted to the estimation
models for penetration rate and excavation costs are treated closely.
The Project Report 1E-98 HARD ROCK TUNNEL BORING Performance Data
and Back-mapping covers follow-up procedures and collecting of performance data
from tunnel boring projects. Engineering geological back-mapping is treated in detail.
Project Report 1F-98 HARD ROCK TUNNEL BORING The Boring Process
covers rock breaking and chipping, machine factors affecting performance, boring in
fractured rock mass, and various types of cutter wear.
The estimation models are aimed at being used through several stages in a project:
The estimation models for Hard Rock Tunnel Boring should be used with care. Com-
bined with other estimation models in the Project Report Series from the Department
of Building and Construction Engineering, the Hard Rock Tunnel Boring reports pro-
vide a reliable and practical tool to be used for:
4
0. GENERAL 0.1 Project Reports about Hard Rock Tunnel Boring
Background
The estimation models are based on job site studies and statistics from tunnelling in
Norway and abroad, including more than 35 job sites and more than 250 km of tunnel.
The data have been systematised and normalised. The results are regarded as being
representative for well organised tunnelling.
A more detailed treatment of the background and the basis for the Hard Rock Tunnel
Boring estimation models is found in HARD ROCK TUNNEL BORING Back-
ground and Discussion.
5
1. PARAMETERS 1.0 Introduction
1.0 INTRODUCTION
The net penetration rate depends on rock properties and machine parameters.
Table 1.1 Machine and rock parameters influencing the net penetration rate.
The cutter wear depends on the following rock properties and machine parameters.
Table 1.2 Machine and rock parameters influencing the cutter wear.
The machine utilisation is again based on time consumption for the various operations
in the tunnel excavation process, see Chapter 4.
The estimation models apply to boring with single disc steel ring cutters.
6
1. PARAMETERS 1.1 Rock Parameters
Degree of Fracturing
The rock mass fracturing is the most important penetration rate parameter for tunnel
boring. In this context, fracturing means fissures or joints with little or no shear
strength along the planes of weakness. The less the distance between the fractures is,
the greater the influence on the penetration rate is.
Rock mass fracturing is characterised by degree of fracturing (type and spacing) and
the angle between the tunnel axis and the planes of weakness.
Joints (Sp): Includes continuous joints that can be followed all around the tunnel
profile. They can be open (e.g. bedding joints in granite) or filled with clay or weak
minerals, e.g. calcite, chlorite or similar minerals.
Fissures (St): Includes non-continuous joints (can only be followed partly around the
tunnel profile), filled joints with low shear strength and bedding plane fissures, e.g. as
in mica schist or mica gneiss.
Homogenous Rock Mass (Class 0): Includes massive rock without joints or fissures
(may appear in intrusive dikes, sills, batholithes, etc.). Rock mass with filled joints of
high shear strength (e.g. joints healed with quartz, epidote, etc.) may approach Class
0.
The degree of fracturing in systematically fractured rock mass is divided into classes
for practical use when mapping (see Table 1.3). The classes include both distance
between and type of weakness planes. Figure 1.1 shows recorded fracture classes for
various rock types in bored tunnels.
7
1. PARAMETERS 1.1 Rock Parameters
Table 1.3 Fracture classes with distance between the planes of weakness.
Amphibolite
Basalt
Gabbro
Gneiss
Granite
Granitic Gneiss
Limestone
Mica Gneiss
Mica Schist
Phyllite
Quartzite
Rock Drillability
Rock drillability is evaluated on the basis of the Drilling Rate Index DRI and the
Cutter Life Index CLI. The test methods are described in Project Report 13A-98
DRILLABILITY Test Methods. The Project Report 13B-98 DRILLABILITY
Catalogue of Drillability Indices lists 2000 samples tested in our laboratory.
Variation of DRI and CLI for some rock types is shown in Figures 1.2 and 1.3. The
influence of rock porosity is described in Section 2.2.
8
1. PARAMETERS 1.1 Rock Parameters
Amphibolite
Basalt
Diorite
Gabbro
Gneiss
Granite
Granitic Gneiss
Greenstone
Limestone
Marble
Mica Gneiss
Mica Schist
Phyllite
Quartzite
Sandstone
Shale
0 10 20 30 40 50 60 70 80 90
Drilling Rate Index, DRI
10% 25% 50% 75% 90% percentiles
Figure 1.2 Recorded Drilling Rate Index for some rock types. Data from Project
Report 13C-98 DRILLABILITY Statistics of Drillability Test Results.
Amphibolite
Basalt
Diorite
Gabbro
Gneiss
Granite
Granitic Gneiss
Greenstone
Limestone
Marble
Mica Gneiss
Mica Schist
Phyllite
Quartzite
Sandstone
Shale
0 10 20 30 40 50 60 70 80 90
Cutter Life Index, CLI
10% 25% 50% 75% 90% percentiles
Figure 1.3 Recorded Cutter Life Index for some rock types. Data from Project
Report 13C-98 DRILLABILITY Statistics of Drillability Test Results.
9
1. PARAMETERS 1.2 Machine Parameters
To estimate the penetration rate and the cutter life, some machine parameters are
required. At an early stage of planning, the parameters must be assumed based on
general machine specifications.
TBM Diameter
Machines with diameters from 1.2 m to 12 m have been developed for boring in hard
rock. Considering the background data, the estimation models are applicable for TBM
diameters from 3 m to 10 m. The diameter of a given machine may be changed when
rebuilt. Modifications of ± 10 - 20 % are normal, depending on diameter and
manufacturer. For some machines the diameter may be changed even more; 100 %
from smallest to largest possible diameter.
Cutter Diameter
Over the recent years, the state of the art cutter diameter has increased from 394 mm
(15.5 inches) to 500 mm (19 and 20 inches). The increase is motivated by higher
cutter loads and longer cutter ring life. 483 mm has become the most used cutter size
for hard rock applications.
Cutter Thrust
Figure 1.4 shows a general outline of maximum gross average thrust per cutter disc as
a function of cutter diameter and TBM diameter. Gross average thrust means the
thrust the cutters are able to utilise over a longer period of time, not peak loads
occurring over short time intervals. At present, the material quality of the steel ring is
the limiting factor of the cutter thrust. When estimating penetration rate etc., one must
consider the thrust capacity of the cutter rings, in addition to the capacity of the cutter
bearings and the main bearing.
Cutterhead RPM
The cutterhead rpm is inverse proportional to the cutterhead diameter. This is because
one needs to limit the rolling velocity of the peripheral cutter. Figure 1.5 shows
cutterhead rpm as a function of TBM diameter and cutter diameter.
10
1. PARAMETERS 1.2 Machine Parameters
Cutterhead Power
Figure 1.7 shows the installed power for cutterhead rotation as a function of cutter
diameter and TBM diameter. The installed power indicated should give sufficient
torque to handle a penetration rate of approximately 10 mm/rev for e.g. one stroke
length.
Figure 1.4 Recommended maximum gross average thrust per disc. The upper limit
indicates boring in homogenous rock mass, the lower limit indicates
boring in medium to very fractured rock mass.
11
1. PARAMETERS 1.2 Machine Parameters
14 1
RPM 1 dc=483mm
rev/min 2 2 dc=432mm
12
3 dc=394mm
3
4 dc=356mm
10
4
8
TBM diameter, m
394mm
60 483mm
N0
50
40
30
20
3.0 4.0 5.0 6.0 7.0 8.0 9.0
TBM diameter, m
12
1. PARAMETERS 1.2 Machine Parameters
Ptbm dc=483mm
kW
3000
dc=432mm
2000
dc=394mm
1000 dc=356mm
TBM diameter, m
13
2. NET PENETRATION RATE 2.0 Introduction
2.0 INTRODUCTION
Net penetration rate is defined as metres tunnel bored per hour while the cutterhead
rotates with thrust against the face.
The penetration rate estimation model is based on normalised penetration curves, see
[2.1]. For more details, see Project Report 1F-98 HARD ROCK TUNNEL
BORING The Boring Process.
æM ö
i0 = ç ekv
çM (mm/rev) [2.1]
è 1
The Figures 2.1 and 2.2 show the relation between the equivalent fracturing factor kekv
and the critical thrust M1 and the penetration coefficient b respectively.
200
M1
150
100
50
0
0 0.5 1.0 1.5 2.0 2.5 3.0
14
2. NET PENETRATION RATE 2.0 Introduction
2.5
b
2.0
1.5
1.0
0.5
0
0 0.5 1.0 1.5 2.0 2.5 3.0
15
2. NET PENETRATION RATE 2.1 Fracturing
2.1 FRACTURING
The rock mass fracturing is expressed by the fracturing factor ks, which is dependent
on the degree of fracturing (type and spacing) and the angle between the tunnel axis
and the planes of weakness, α.
αs = strike angle
αf = dip angle
αt = tunnel direction.
The fracturing factor is shown in Figure 2.3, as a function of Fissure or Joint Class
and angle between the tunnel axis and the planes of weakness.
For more than one set of weakness planes, the total fracturing factor is as follows:
k si − (n − 1) ⋅ 0.36
n
k s −tot = [2.3]
i =1
The rock mass properties for TBM boring is expressed by the equivalent fracturing
factor.
16
2. NET PENETRATION RATE 2.1 Fracturing
kDRI
ks=0.36
1.2
ks=2.0
ks=3.5
1.0
0.8
0.6
0.4
20 30 40 50 60 70 80
DRI
IV
4.0
Fissure Class Joint Class
ks
3.0
III-IV
2.0
III II
II-III I-II
1.0
II I
I 0-I
0 0
10 20 30 40 50 60 70 80 90
, degrees
17
2. NET PENETRATION RATE 2.2 Rock Porosity
The porosity must be measured for rock types with porosity higher than
approximately 2 %. The porosity's influence on the DRI is negligible for porosity less
than 10 - 12 %. Hence, the porosity must be incorporated in the penetration rate
model as an independent parameter.
Boring in North Atlantic basalt (The Faeroe Islands) has shown that porosity has a
significant influence on the net penetration rate. The experience data are limited to
approximately 15 % porosity.
5.0
kpor
4.0
3.0
2.0
1.0
2 4 6 8 10 12
Porosity, %
18
2. NET PENETRATION RATE 2.3 Rock Porosity
Equivalent thrust
i0
mm/rev
12.0 300kN/c
250kN/c
10.0
8.0 200kN/c
6.0
150kN/c
4.0
2.0
19
2. NET PENETRATION RATE 2.3 Rock Porosity
1.3
kd
1.2
1.1
1.0
0.9
0.8
350 375 400 425 450 475 500
Cutter diameter, mm
1.05
ka
1.00
0.95
0.90
0.85
60 65 70 75 80 85
20
2. NET PENETRATION RATE 2.4 Basic Net Penetration Rate
The basic net penetration rate I0 is a function of basic penetration and cutterhead rpm.
The basic net penetration rate is applicable for systematically fractured rock mass
without Marked Single Joints.
æ 60 ö
I 0 = i 0 ⋅ RPM ⋅ ç (m/h) [2.6]
è 1000
21
2. NET PENETRATION RATE 2.5 Marked Single Joints
For a more detailed treatment of boring through Marked Single Joints, see Project
Report 1F-98 HARD ROCK TUNNEL BORING The Boring Process.
The tunnel length lesp influenced by Marked Single Joints is estimated from the tunnel
diameter dtbm, the angle between the Marked Single Joints and the tunnel axis αesp,
and the number n of similar Marked Single Joints occurring in the geological zone.
αesp is found by [2.2].
Net penetration rate when boring through Marked Single Joints, Iesp is found by
kesp should not be given a higher value than 1.4. When the penetration addition is of
this size, the vibration level of the cutterhead and the peak forces on the cutters are
very high, requiring a reduction of the thrust level.
The average net penetration rate In over a geological zone with a total length of lj, is
found by
lj
In = (m/h) [2.9]
l j − l esp l esp
+
I0 I esp
22
2. NET PENETRATION RATE 2.5 Marked Single Joints
Figure 2.8 Theoretical averaged penetration addition for marked single joints.
DRI=30 DRI=40
1.4
kesp DRI=50
1.3
DRI=60
1.2
1.1
10 20 30 40 50 60
esp , degrees
23
2. NET PENETRATION RATE 2.6 Torque Demand
For high net penetration rates or when boring in fractured rock, one must check that
there is sufficient cutterhead power installed to utilise the estimated thrust. The
machine is torque limited if the installed power is too low to rotate the cutterhead for
a given penetration. Then the thrust must be reduced until the required torque is less
than the torque capacity of the cutterhead drive. Necessary torque is given by:
rmc = relative position of the average cutter on the cutterhead. When the
cutterhead design is known, the factor may be calculated, see [2.11].
Normally, rmc is approximately 0.59.
dtbm = cutterhead diameter
Ntbm = number of cutters on the cutterhead
MB = gross average cutter thrust
kc = cutter coefficient (rolling resistance), see [2.12].
N tbm
r
i 1
i
N tbm
rmc [2.11]
0.5 d tbm
k c cc i0 [2.12]
Figure 2.10 shows the cutter constant cc as a function of cutter diameter. The
necessary torque decides the installed power. Necessary installed power is given by
[2.13].
24
2. NET PENETRATION RATE 2.6 Torque Demand
Tn ⋅ 2 ⋅ π ⋅ RPM
Pn = (kW) [2.13]
60
If the installed cutterhead power is less than Pn, the estimation of penetration rate
must me recalculated with a lower cutter load MB.
0.06
cc
0.05
0.04
0.03
0.02
300 350 400 450 500
Cutter diameter, mm
For more details on torque demand, see Project Report 1F-98 HARD ROCK
TUNNEL BORING The Boring Process.
25
2. NET PENETRATION RATE 2.7 Other Advance Rate Limitations
Besides limitations due to available torque, the system's capacity (the TBM and the
backup) for muck removal may limit the net penetration rate. Particularly, muck
removal may limit the net penetration rate for large diameter machines.
When boring through marked single joints or heavy fractured rock, it may be
necessary to reduce the thrust due to too high machine vibration level and very high
momentary cutter loads.
26
3. CUTTER LIFE 3.0 Introduction
3.0 INTRODUCTION
The estimation model presupposes that the TBM is operated at a thrust level resulting
in mainly abrasive wear of the cutter rings. The amount of blocked cutters and cutter
rings worn by ring chipping should be less than 10 - 20 % of the total number of
changed cutters.
27
3. CUTTER LIFE 3.1 Cutter Ring Life
The cutter ring life, in boring hours, is proportional to the Cutter Life Index CLI.
Figure 3.1 shows basic cutter ring life as a function of CLI and cutter diameter.
dc=483mm
140
H0
hr
dc=432mm
120
100
dc=394mm
80
dc=356mm
60
40
20
20 40 60 80 100
28
3. CUTTER LIFE 3.1 Cutter Ring Life
Correction factor for TBM diameter is shown in Figure 3.2. The centre and gage
cutters have a shorter lifetime than the face cutters. With increasing TBM diameter,
the ratio of centre and gage cutters to face cutters decreases, and the average cutter
will live longer.
1.6
kD
1.4
1.2
1.0
TBM diameter, m
The cutter ring life is inversely proportional to the cutterhead rpm, according to the
assumption that the time dependent wear is proportional to the rolling velocity of the
cutter. In other words: The cutter ring life in given rock conditions is constant if
measured in rolled distance, independent of the rolling velocity. The correction factor
for varying cutterhead rpm is shown in [3.1].
29
3. CUTTER LIFE 3.1 Cutter Ring Life
50 / d tbm
k rpm = [3.1]
RPM
When the actual number of cutters on the cutterhead differs from the model, the life of
the average cutter will change. Correction for actual number of cutters is:
N tbm
kN = [3.2]
N0
The cutter ring life varies with the rock content of quartz and other hard and abrasive
minerals. Figure 3.3 shows the correction factor as a function of quartz content only.
According to our experience, the content of minerals such as epidote and garnet may
be included in the quartz content when estimating the cutter ring life from Figure 3.3.
The correction factor in Figure 3.3 is based on normalised field and laboratory data.
For rock types of Group 1, the curve may be explained by the fact that the CLI and the
rock quartz content are not independent variables. Another possible explanation is
that the laboratory test procedures for the CLI are influenced by the mineral
composition of the rock.
30
3. CUTTER LIFE 3.1 Cutter Ring Life
When using the estimation model, CLI and rock quartz content should not be varied
independently. For rock types of Group 1, one should be cautious when using quartz
content close to 0 % and 27 %.
1.6
kQ 1 Mica schist
1.4 Mica gneiss
Gneiss
1.2 Granitic Gneiss
Granite
1.0
0.8
1
0.6
0.4
0 20 40 60 80 100
Quartz content, %
The average life of cutter rings is given by [3.3], [3.4] and [3.5].
Hm = Hh ⋅ In (m/c) [3.4]
H f = H h ⋅ I n ⋅ π ⋅ d tbm
2
/4 (sm3 /c) [3.5]
31
3. CUTTER LIFE 3.1 Cutter Ring Life
H0 (and Ht , see Appendix D) expresses life of one individual cutter ring in the
average cutter position (≈ 0.59 ⋅ rtbm) in machine hours. E.g. for a CLI of 10 and a
quartz content of 30 %, one 483 mm diameter cutter ring will have a life of
approximately 70 hours in position 15 on a 3.5 m diameter TBM with standard
machine parameters.
Hh, Hm and Hf express averaged cutter life for the cutterhead or the tunnel. E.g. Hm =
10 m/c means that for each 10 m of tunnel, the total averaged wear on all the cutters
on the cutterhead corresponds to one complete cutter ring. Hm = 10 m/c also means
that, as an average, one has to change one cutter for every 10 m of tunnel bored.
32
4. GROSS ADVANCE RATE 4.0 Introduction
4.0 INTRODUCTION
Gross advance rate is given in metres per week as an average for a longer period.
Gross advance rate depends on net penetration rate, machine utilisation and the
number of working hours during the period.
The model is to a large extent based on experience data from a shift system that totals
approximately 100 working hours per week.
The machine utilisation includes only small amounts of rock support work. The model
is therefore not directly applicable for tunnels with substantial amounts of rock
support. The possibilities of changing cutters, performing maintenance and repair of
the TBM and the backup, etc., while installing the rock support, should be evaluated.
33
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
The machine utilisation is net boring time expressed in per cent of total tunnelling
time. Total tunnelling time includes
•= Boring Tb
•= Regripping Tt
•= Cutter change and inspection Tc
•= Repair and service of the TBM Ttbm
•= Repair and service of the backup Tbak
•= Miscellaneous Ta.
The time consumption of the activities is expressed in hours per kilometre. Time
consumption used in this report is representative for the better part of today's
tunnelling practice. The machine utilisation is given by:
100 ⋅ Tb
u= (%) [4.1]
Tb + Tt + Tc + Ttbm + Tbak + Ta
Boring
The boring time depends on the average net penetration rate In.
1000
Tb = (h/km) [4.2]
In
Regripping
Time for regripping depends on the stroke length of the thrust cylinders and time per
regrip.
34
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
1000 ⋅ t tak
Tt = (h/km) [4.3]
60 ⋅ l s
As an average, time per regrip ttak is 4.5 minutes. Time consumption varies with
gripper hold, the stroke length, the TBM diameter, boring in curves, and the capacity
of the hydraulic system. Under favourable conditions the time consumption will be
somewhat lower, but may increase substantially under difficult conditions.
Cutter Change
Time for cutter change and inspection depends on the cutter ring life Hh, the net
penetration rate In, and time used per changed cutter tc.
1000 ⋅ t c
Tc = (h/km) [4.4]
60 ⋅ H h ⋅ I n
Time per changed cutter varies with the cutter size. Typically, time consumption is
tc is based on data from cutterheads with front loaded cutters being changed under
favourable working conditions. Water ingress, unstable rock conditions, high rock
temperature, back loaded cutters, etc., may change the unit time substantially.
The inspection time per changed cutter increases when boring in rock with low
abrasivity. This gives an increased total time per changed cutter. Time per changed
35
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
cutter also depends on number of cutters changed at one time. Few cutters changed
each round gives a higher unit time tc, and may also give reduced cutter life.
Other Activities
The time consumption for repair, maintenance and service of the TBM and the
backup, and miscellaneous activities, is shown in Figure 4.1. The time consumption is
representative for well organised tunnelling operations. Time for possible main
bearing failure and other long lasting stops is not included. Such risks must be
evaluated separately.
•= Normal rock support in good rock conditions, i.e. rock support that may be
installed while boring and without increasing the tunnelling crew
•= Waiting for transport
•= Tracks or roadway; installation and maintenance
•= Surveying, moving of laser
•= Water, ventilation, electric cable; installation and maintenance
•= Washing and cleaning of the TBM and the backup
•= Other (change of crews, incidental lost time, etc.).
In addition to the listed items, miscellaneous includes time consumption related to the
tunnelling method and organisation.
For long headings (> 8 km), Miscellaneous demands an increasing part of the
available tunnelling time. Waiting for transport will increase substantially if the
capacity of the transport system is too low.
Continuous Conveyor
We have little data from TBM tunnelling using continuous conveyor for muck
transport. The few data available suggests that a conveyor based system has more stop
time than a rail based system, considering muck transport only. However, when the
36
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
advantages of the conveyor-based system are incorporated fully into the total
tunnelling operations in long tunnels, we expect a machine utilisation equal to or
better than for a rail-based system.
In tunnels requiring a large amount of installations following the excavation (e.g. road
and railway tunnels), use of a continuous conveyor for muck transport is a good
solution to reduce the overall construction time.
Most of the data are taken from tunnelling operations based on approximately 100
working hours per week. Hence, it is presupposed some available time outside the
standard working hours to handle unforeseen and critical incidents like major repairs.
Some parts of such time consumption are not registered in the shift log and are
therefore not included in Figure 4.1.
Figure 4.2 indicates that the possibilities to handle unforeseen and critical incidents in
a flexible manner are fewer as the weekly working hours Tu increase towards 168
hours. Te expresses the available effective working hours when the weekly working
hours differ from 100, which is the basis for the model. The curve is based on relative
few observations, but is believed to be a conservative estimate regarding the loss of
effective working hours.
u = machine utilisation
Te = effective working hours per week
Im = average net penetration rate over the tunnel
37
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
38
4. GROSS ADVANCE RATE 4.1 Machine Utilisation
150
Available time, h/week
140
130
120
110
100
90
80
70
60
60 80 100 120 140 160
39
4. GROSS ADVANCE RATE 4.2 Additional Time Consumption
Furthermore, time for manufacturing or refurbishing the TBM and the backup may
influence the overall time schedule, depending on the duration of the necessary
activities to precede the TBM excavation. Refurbishing a used TBM may take from 3
to 6 months. Manufacturing a new TBM may take from 6 months to one year,
depending mainly on the TBM diameter.
Transport of the TBM and the backup to the site may also be influence the overall
time schedule, for the same reasons as above. Transport of the TBM is a demanding
operation since the largest component may weigh 20 tons or more, even for a 3.5 m
diameter machine.
40
APPENDIX A. Previous Editions
A. PREVIOUS EDITIONS
Previous editions of Hard Rock Tunnel Boring Report including project group
members:
41
APPENDIX B. Research Partners
B. RESEARCH PARTNERS
•= Statkraft anlegg as
•= Norwegian Public Roads Administration
•= Statsbygg
•= Scandinavian Rock Group AS
•= NCC Eeg-Henriksen Anlegg AS
•= Veidekke ASA
•= Andersen Mek. Verksted AS
•= DYNO Nobel
•= Atlas Copco Rock Drills AB
•= Tamrock OY
•= The Research Council of Norway
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APPENDIX C. List of Parameters
C. List of Parameters
The parameters used in the report are listed in the following. The list is according to
when the parameter first is explained or treated.
43
APPENDIX C. List of Parameters
44
APPENDIX C. List of Parameters
45
APPENDIX D. Estimation Forms
Length lj m
Quartz content Q %
Porosity P %
k si − (n − 1) ⋅ 0.36
n
Total fracturing factor k s −tot = [2.3]
i =1
D.4 Net Penetration Rate (including correction for Marked Single Joints)
Length of zone lj m
If the installed power is insufficient to meet the required torque, the estimation of net
penetration rate and required power must be repeated with a lower gross thrust per
cutter.
Zone no. j 1 2 3 4 5
Length lj (m)
Σl j
Average net penetration rate Im Im = = (m/h)
Σ(l j / I nj )
Zone no. j 1 2 3 4 5
Length lj (m)
Σ(l j / I nj )
Average cutter ring life H hm = = h/c
l j / I nj
Σ( )
H hj
Σl j
Average cutter ring life H mm = = m/c
Σ(l j / H mj )
Σl j
Average cutter ring life H fm = = sm3/c
Σ(l j / H fj )
Machine utilization
u = (100 · Tb ) / (Tb + Tt + Tc + Ttbm + Tbak + Ta ) % [4.1]