Rock Mechanics for Tunneling

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1 Rock Mechanics for Tunneling Discrete Fracture Approach Dr. William Dershowitz Dept of Civil Engineering University of Washington FracMan Technology Group Golder Associates Inc

2 Rock Quality -RQD

3 Rock Quality -RMR

4 Rock Quality -RMR

5 Rock Tunnel Design by RMR

6 Rock Quality Q Q System

7 Rock Quality Q Q System

8 Rock Quality Q Q System

9 Rock Tunnel Design Using Q-System Q

10 after Hoek, 2000 Rock Tunnel Design Using Q-System Q

11 Rock Dowels

12 Rock Bolts

13 Rock Bolt Design

14 Shotcrete

15 Shotcrete

16 Hallandsås Tunnel: Excitement Under (and above) Ground

17 Hallandsås

18 Hallandsås: : Swedish Tunnel Disaster

19 Hallandsås Tunnel: Original Development by Drill and Blast with Grouting

20 Shotcrete

21 Shotcrete

22 Shotcrete

23 Tunneling in Weak Rock

24 Tunneling in Weak Rock

25 Tunneling in Weak Rock

26 Tunneling in Weak Rock

27 Tunneling in Weak Rock

28 Tunneling in Weak Rock

29 Tunneling in Weak Rock

30 Hallandsås Tunnel: TBM Tunneling

31 Inland Feeder Project

32 Structurally Controlled Tunnel Stability Wedge Formation from Hoek, 2000

33 Small Wedges - Raveling from Hoek, 2000

34 Rock Bolt Design from Hoek, 2000

35 Tunneling Sequence for Wedge Stability from Hoek, 2000

36 Kinematic Stability Analysis DFN Approach 3D Discrete Fracture Network Based on Field Measurement Simulated Slope Surfaces Reflect Effect of Fracture Size Rock Bridge Failure Reflected by Selective Increasing of Fracture Size

37 Tunnel Specification

38 Fracture Generation

39 Trace Maps and Wedge Identification

40 Wedge Stability Analysis

41 DFN Approach: Tunnel Scale Modeling Integrate Hydraulic, Grout, and Geologic Data During Tunnel Advance Condition Model to Groundwater Monitoring and Grout Take Update Model to Predict Structural Intersection Events

42 Äspö Project, Sweden

43 Äspö Tunnels Swedish Granite

44 Task 5 DFN Model - Deterministic Fractures

45 30-Apr Jan Nov-96 Weir Flux Time History Boundary Condition Total Flow into Weir Aug May Feb Nov Aug May Feb Nov Aug May Feb Nov Aug May Feb Nov Aug May Feb Nov Aug Jun Mar-91 Date Weir Flow Rate (l/min)

46 Head in Monitoring Section KAS06 MA66 KAS06 MA Oct Dec Mar Jun Sep Dec Mar Jun Sep Dec Mar Jun Sep Dec-93 Measured H-8 Date Head (m)

47 Head in Monitoring Section KAS08 MA81 KAS08 MA Measured H Oct Dec Mar Jun Sep Dec Mar Jun Sep Dec Mar Jun Sep Dec-93 Date Head (m)

48 Head in Monitoring Section KAS07 MA74 KAS07 MA Measured Simulated Date Head (m)

49 Geochemistry in Monitoring Well SA0813B SA0813B 100% 90% 80% Component Percentage 70% 60% 50% 40% 30% 20% 10% 0% 01-Oct Mar Sep Mar Sep Mar Sep-93 Date Sim Cpt 1 Sim Cpt 2 Sim Cpt 3 Sim Cpt 4 Sim Cpt 5 Sim Cpt 6 Sim Cpt 7 Data Cpt 1 Data Cpt 2 Data Cpt 3 Data Cpt 4 Data Cpt 5 Data Cpt 6 Data Cpt 7 14-Mar Sep Mar Sep Mar Aug Feb-97

50 Geochemistry in Monitoring Well SA2783A SA2783A 100% 90% 80% Component Percentage 70% 60% 50% 40% 30% 20% 10% 0% -10% -20% 01-Oct Mar Sep Mar Sep Mar Sep-93 Date Brine, Simulated Baltic Sea, Simulated Glacial, Simulated Meteoric, Simulated Brine, Measured Baltic Sea, Measured Glacial, Measured Meteoric, Measured 14-Mar Sep Mar Sep Mar Aug Feb-97

51 Grout Reliability Issues Grout Uptake to a Dominant Fracture

52 Grout Reliability Issues Subvertical Fractures Missed by Grouting and Confirmation Test Holes

53 Grout Reliability Issues Successful Confirmation Tests Signifying Nothing

54 Grout Reliability Issues Periodic/Regular Ungrouted Fractures

55 DFN Approach: Real time Modeling

56 Tunneling Model: Realistic Geology and Hydrogeology Streamline for flow and transport defined perpendicular to pressure contours Pressure Contours a) Continuum Model Source Sink b) Pathways Controlled by Fracture Geometry

57 DFN Tunneling Model: Prediction of Difficult Ground DFN Incorporates Flow Barrier and Conductive Structures Correlate Geology, Grout Take and Hydraulic Response to Upcoming Structures Predict Structure Intersections Direct Interaction with Contractor

58 Tunneling Model Demonstrate Grout Effectiveness Tunnel Impact Modeling without Grout Grouting Simulation Phreatic Surface Impacts at Distance Tunnel Inflows and Chemistry w/ and w/o Grouting

59 Monitoring Model: Establish Seasonal/ Diurnal Variations Site 910 Model Natural Variation in Phreatic Surface Establish Criteria for Identifying Potential Tunnel Effects Model Phreatic Surface as Tunneling Progresses Date Elevation (ft, MSL)

60 Monitoring Model Correlation to Tunnel Advance Head (m) Measured Simulated KAS07 MA Date Simulate Head Reponse (Predictive) at different tunnel inflow rates Update Model as tunnel advances Correlate phreatic responses to Tunnel Advance (if any)

61 Concluding Remarks DFN Approach can provide a methodology for: Constructing a realistic hydrogeological model of local and regional scale responses Predicting grout efficiency Predicting inflows into the tunnel Mitigating reduction in the groundwater table

GAMINGRE 8/1/ of 7

GAMINGRE 8/1/ of 7 FYE 09/30/92 JULY 92 0.00 254,550.00 0.00 0 0 0 0 0 0 0 0 0 254,550.00 0.00 0.00 0.00 0.00 254,550.00 AUG 10,616,710.31 5,299.95 845,656.83 84,565.68 61,084.86 23,480.82 339,734.73 135,893.89 67,946.95

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