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Bulletin of Engineering Geology and the Environment
Published in: Bulletin of Engineering Geology and the Environment 5/2019

29-06-2018 | Original Paper

Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM)

Authors: Feng Ji, Yuchuan Shi, Renjie Li, Chunhong Zhou, Ning Zhang, Jishun Gao

Published in: Bulletin of Engineering Geology and the Environment | Issue 5/2019

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Abstract

Rock mass quality is closely related to tunnel stability and supporting measures. The Q-system, based on the drilling and blasting method, is one of the most important methods for rock mass classification systems and provides reliable long-term protection for tunnel excavation and reinforcement. However, in comparison to the drilling and blasting method, tunnels excavated using the tunnel boring machine (TBM) method have smooth and integral walls. The number of structural planes in these tunnels, their extension lengths, opening widths, and other characteristics are significantly different from those excavated using the drilling and blasting method. These differences lead to prediction errors in rock mass quality when the Q-system is applied to tunnels excavated by a TBM, and the coincidence rate is less than 70%. In this study, a reduction factor RKv, based on the wave velocity test, is used to replace the RQD/Jn term in the Q-system to reflect the integrity of the rock mass. This replacement can overcome the shortcomings that result from the smooth walls in TBM tunnels by applying the wave velocity during tunnel construction. Based on multiple regression analysis of RKv, we established a QT method for rock classification of material surrounding TBM tunnels. This new method provides a prediction coincidence rate of more than 85%.
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Literature
Alber M (1996) Prediction of penetration, utilization for hard rock TBMs. In: Proceedings of the International Conference of Eurock ‘96, Balkema, Rotterdam, pp 721–725
Alber M (2000) Advance rates of hard rock TBMs and their effects on project economics. Tunnel Undergr Space Technol 15(1):55–64CrossRef
Aydin A (2004) Fuzzy set approaches to classification of rock masses. Eng Geol 74:227–245CrossRef
Barton N (1999) TBM performance in rock using Q TBM. Tunnels Tunnel Int 31:41–48
Barton N (2000) TBM tunneling in jointed and faulted rock. Balkema, Brookfield, Rotterdam, p 173
Barton N (2002) Some new Q-value correlations to assist in site characterization and tunnel design. Int J Rock Mech Min Sci 39:185–216CrossRef
Barton N (2007) Thermal over-closure of joints and rock masses and implications for HLW repositories. Proc. of 11th ISRM Congress, Lisbon
Barton N, Bieniawski ZT (2008) RMR and Q-setting records. Tunnels Tunnel Int (Feb) 26–29
Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Int J Rock Mech Min Sci 6:189–236CrossRef
Bieniawski ZT (1989) Engineering rock mass classifications. Wiley, New York
Bieniawski ZT, Grandori R (2007) Predicting TBM excavability – part II. Tunnels Tunnel Int (Dec) 15–18
Bieniawski ZT, Tamames BC, Fernandez JMG, Hernandez MA (2006) Rock Mass Excavability (RME) Indicator: new way to selecting the optimum tunnel construction method. In: ITA-AITES World Tunnel Congress & 32nd ITA General Assembly, Seoul
Bieniawski ZT, Celada B, Galera JM (2007a) TBM Excavability: prediction and machine-rock interaction. In: Proceedings, Rapid Excavation and Tunneling Conference pp 1118–1130
Bieniawski ZT, Celada B, Galera JM (2007b) Predicting TBM excavability – part I. Tunnels Tunnel Int (Sep) 32–35
Chen CS, Liu YC (2007) A methodology for evaluation and classification of rock mass quality on tunnel engineering. Tunneling and Underground Space
Choi Y, Yoon SY, Park HD (2009) Tunneling analyst: a 3D GIS extension for rock mass classification and fault zone analysis in tunneling. Comput Amp Geosci 35:1322–1333CrossRef
Christe P, Turberg P, Labiouse V, Meuli R, Parriaux A (2011) An X-ray computed tomography-based index to characterize the quality of cataclastic carbonate rock samples. Eng Geol 117(3–4):180–188CrossRef
Deere DU, Hendron AJ, Patton FD, Cording EJ (1967) Design of surface and nearsurface construction in rock. In: Fairhurst C (ed) Proceedings of the US rock mechanics symposium, failure and breakage of rock. Society of Mining Engineers of AIME, New York, pp 237–302
Ergül Y (2001) A new rock mass classification for coal measures rocks. Eng Geol 62:293–300CrossRef
Grimstad E, Barton N (1993) Updating of the Q-system for NMT. Int. symposium on spayed concrete — modern use of wet mix sprayed concrete for underground support. Fagernes Technol 22:377–387
González LI, Vallejo D (2003) SRC rock mass classification of tunnels under high tectonic stress excavated in weak rocks. Eng Geol 69:273–285CrossRef
Heuer RE (1995) Estimating rock tunnel water inflow. In: Proceedings of the rapid excavation and tunneling conference p 41–60
Hoek E, Diederichs MS (2006) Empirical estimation of rock mass modulus. Int J Rock Mech Min Sci 43:203–215CrossRef
Hoseinie SH, Aghababaei H, Pourrahimian Y (2008) Development of a new classification system for assessing of rock mass drillability index (RDi). Int J Rock Mech Min Sci 45:1–10CrossRef
Hoseinie SH, Ataei M, Osanloo M (2009) A new classification system for evaluating rock penetrability. Int J Rock Mech Min Sci 46:1329–1340CrossRef
Jalalifar H, Mojedifar S, Sahebi AA, Nezamabadi H (2011) Application of the adaptive neuro-fuzzy inference system for prediction of a rock engineering classification system. Comput Geotech 38:783–790CrossRef
Li C, Gu T, Ding J et al (2010) Discussion on rock classification in TBM construction tunnel. J Eng Geol 18:730–735
Li SJ, Feng XT, Li ZH, Chen BR, Zhang CQ, Zhou H (2012a) In situ monitoring of rockburst nucleation and evolution in the deeply buried tunnels of Jinping II hydropower station. Eng Geol 137–138:85–96
Li SJ, Feng XT, Li ZH, Zhang CQ, Chen BR (2012b) Evolution of fractures in the excavation damaged zone of a deeply buried tunnel during TBM construction. Int J Rock Mech Min Sci 55:125–138
Liu F, Huang X, Shi K (2011) Surround rock classification of risk analysis based on TBM roadway excavation. Coal Eng 12:77–79
Liu YC, Chen CS (2007) A new approach for application of rock mass classification on rock slope stability assessment. Eng Geol 89:129–143CrossRef
Qi S, Wu F (2011) Surrounding rock mass quality classification of tunnel cut by TBM with fuzyy mathematics method. Chin J Rock Mech Eng 30:1225–1229
Qiu DH, Li S, Zhang LW, Xue YG (2010) Application of GA–SVM in classification of surrounding rock based on model reliability examination. Min Sci Technol (China) 20:428–433CrossRef
Read SAL, Richards LR, Perrin ND (1999) Applicability of the Hoek–Brown failure criterion to New Zealand greywacke rocks. In: Vouille G, Berest P, editors. Proceedings of the 9th international congress on rock mechanics. Paris, 2 August, p 655–60
Ramamurthy T (2004) A geo-engineering classification for rocks and rock masses. Int J Rock Mech Min Sci 41:89–101CrossRef
Sun J, Lu W, Su L et al (2008) Rock mass rating identification based on TBM performance parameters and muck characteristics. Chin J Geotech Eng 30(12):82–89
Wu Y, Wu X, Yin J (2006) Research with relation to rock classification of TBM tunnels. Hydrogeol Eng Geol 33:120–122
Xu NW, Tang CA, Li LC, Zhou Z, Sha C, Liang ZZ, Yang JY (2011) Microseismic monitoring and stability analysis of the left bank slope in Jinping first stage hydropower station in southwestern China. Int J Rock Mech Min Sci 48(6):950–963CrossRef
Zhang CQ, Feng XT, Zhou H, Qiu SL, Wu WP (2012b) Case histories of four extremely intense rockbursts in deep tunnels. Rock Mech Rock Eng 45:275–288
Metadata
Title
Modified Q-index for prediction of rock mass quality around a tunnel excavated with a tunnel boring machine (TBM)
Authors
Feng Ji
Yuchuan Shi
Renjie Li
Chunhong Zhou
Ning Zhang
Jishun Gao
Publication date
29-06-2018
Publisher
Springer Berlin Heidelberg
Published in
Bulletin of Engineering Geology and the Environment / Issue 5/2019
Print ISSN: 1435-9529
Electronic ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-018-1257-y

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