Rock and Soil Mechanics ›› 2020, Vol. 41 ›› Issue (5): 1721-1729.doi: 10.16285/j.rsm.2019.0963

• Geotechnical Engineering • Previous Articles     Next Articles

Prediction and classification of rock mass boreability in TBM tunnel

WU Xin-lin1,2, ZHANG Xiao-ping1,2, LIU Quan-sheng1,2, LI Wei-wei3, HUANG Ji-min3   

  1. 1. School of Civil Engineering, Wuhan University, Wuhan, Hubei 430072, China; 2. Key Laboratory of Geotechnical and Structural Engineering Safety of Hubei Province, Wuhan University, Wuhan, Hubei 430072, China; 3. Manufacturing and Installation Branch Sinohyaro Bureau 3 Co., Ltd, Xi’an, Shaanxi 710024,China
  • Received:2019-07-04 Revised:2019-09-16 Online:2020-05-11 Published:2020-07-07
  • Supported by:
    This work was supported by the The General Program of National Natural Science Foundation of China(51978541, 41941018, 51839009).

PDF (Chinese)

413

PDF (English)

38

Abstract: Due to the extremely high sensitivity of tunnel boring mechine（TBM）performance to rock mass conditions and its huge early investment, it is of great value to evaluate the rock mass boreability and predict the TBM performance. In this study, about 300 sets of field data from China and Iran are collected, covering three different rock types and 5 TBM tunnels. FPI (field penetration index) is selected as the evaluation index of rock mass boreability. Specifically, the relationships between rock uniaxial compressive strength(UCS), rock mass integrity index , angle between main structural plane of rock mass and axis of the tunnel ?, tunnel diameter, D and rock mass boreability are systematically analyzed. In addition, a unified approach of rock mass parameters which is suitable for the study of rock mass boreability is discussed in detail, and an empirical prediction model of rock mass boreability with relatively high accuracy ( 0.768) is further established. Based on this model and supplemented by K-center clustering method, the boreability of rock mass are classified into 6 groups, which are then applied to the exploration of the distribution of average cutter thrust and cutterhead speed under various of rock mass boreability conditions. The findings in our work shed light on the evaluation of rock mass boreability, the selection of operational parameters as well as the arrangement of TBM tunnel construction schedule.

Key words: tunnel boring mechine（TBM）, boreability prediction, rock mass classification, boring parameters

CLC Number: 

  • TU 470
[1] DING Zhen-jie, ZHENG Jun, LÜ Qing, DENG Jian-hui, TONG Meng-sheng, . Discussion on calculation methods of quality index of slope engineering rock mass in Standard for engineering classification of rock mass [J]. Rock and Soil Mechanics, 2019, 40(S1): 275-280.
[2] MA Chi-shuai, CHEN Wei-zhong, TIAN Hong-ming, YANG Jian-ping,. Discussion on rock strength estimating method based on TBM parameters [J]. , 2017, 38(S2): 295-303.
[3] SHEN Yan-jun , XU Guang-li , YANG Geng-she , YE Wan-jun，. Probability distribution characteristics of rock mass classification and its mechanical parameters based on fine description [J]. , 2014, 299(2): 565-572.
[4] LIN Da-ming1,2，SHANG Yan-jun1，SUN Fu-jun3，SUN Yuan-chun1,2，WU Feng-bo1,2，LIU Zhi. Study of strength assessment of rock mass and application [J]. , 2011, 32(3): 837-842.
[5] HU Sheng-ming，HU Xiu-wen. Estimation of rock mass parameters based on quantitative GSI system and Hoek-Brown criterion [J]. , 2011, 32(3): 861-866.
[6] SU Yong-hua，ZOU Zhi-peng，ZHAO Ming-hua. Rock classification based on theory of barycenter of fuzzy set [J]. , 2007, 28(6): 1118-1122.
[7] ZANG Xiu-ping, RUAN Han-ting, LI Ping, FANG Peng-kai, ZHANG Jian. Status quo and trends analysis of factors considered in rock mass classification methods [J]. , 2007, 28(10): 2245-2248.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] YAO Yang-ping, HOU Wei. Basic mechanical behavior of soils and their elastoplastic modeling[J]. , 2009, 30(10): 2881 -2902 .
[2] ZHANG Li-ting, QI Qing-lan, WEI Jing HUO Qian, ZHOU Guo-bin. Variation of void ratio in course of consolidation of warping clay[J]. , 2009, 30(10): 2935 -2939 .
[3] ZHANG Qi-yi. Study of failure patterns of foundation under combined loading[J]. , 2009, 30(10): 2940 -2944 .
[4] ZHANG Ming-yi, LIU Jun-wei， YU Xiu-xia. Field test study of time effect on ultimate bearing capacity of jacked pipe pile in soft clay[J]. , 2009, 30(10): 3005 -3008 .
[5] KANG Hou-rong, LEI Ming-tang, ZHANG Xie-dong, ZHAO Jie-hua. Karst environment zoning for highway engineering of Guizhou Province[J]. , 2009, 30(10): 3032 -3036 .
[6] LIU Zhen-ping, HE Huai-jian, LI Qiang， ZHU Fa-hua. Study of the technology of 3D modeling and visualization system based on Python[J]. , 2009, 30(10): 3037 -3042 .
[7] WU Liang, ZHONG Dong-wang, LU Wen-bo. Study of concrete damage under blast loading of air-decking[J]. , 2009, 30(10): 3109 -3114 .
[8] ZHOU Xiao-jie, JIE Yu-xin, LI Guang-xin. Numerical simulation of piping based on coupling seepage and pipe flow[J]. , 2009, 30(10): 3154 -3158 .
[9] WU Chang-yu, ZHANG Wei, LI Si-shen, ZHU Guo-sheng. Research on mechanical clogging mechanism of releaf well and its control method[J]. , 2009, 30(10): 3181 -3187 .
[10] CUI Hao-dong, ZHU Yue-ming. Back analysis of seepage field of Ertan high arch dam foundation[J]. , 2009, 30(10): 3194 -3199 .
Copyright © Rock and Soil Mechanics, All Rights Reserved.
Tel: 027-87198484, 87199252, 87199253, 87198752　E-mail: ytlx@whrsm.ac.cn
Powered by Beijing Magtech Co. Ltd