1. School of Civil Engineering, Changsha University of Science & Technology, Changsha Hunan, 410114, China;
2. Hunan Yongzhou to Jishou expressway construction and Development Co., Ltd., Jishou 416000, Hunan, China
Classification Method for Surrounding Rock of Highway Tunnel Based on Quantization of Tunnel Face Structure
LIU Hou-xiang1, ZHA Huan-yi1, WANG Zhen1, JIANG Wu-jun2
1. School of Civil Engineering, Changsha University of Science & Technology, Changsha Hunan, 410114, China;
2. Hunan Yongzhou to Jishou expressway construction and Development Co., Ltd., Jishou 416000, Hunan, China
摘要By studying tunnel face images collected during a highway tunnel excavation, we establish the classification system of photolithography by MATLAB programming. According to the rock mass index (rock block size index or RBI) concept, 19 virtual lines are arranged in turn to the tunnel contour line, and the difference of the brazier rock mass structure is evaluated synthetically by 19 RBs of the radial direction of the face. Based on the structure, the distribution of comprehensive index of the rock mass structure (Z-RBI) is obtained through a comprehensive evaluation of the rock surface, and the corresponding relationship between the Z-RBI and rock structure type is determined. Considering the hardening degree of rock mass, the Z-RBI, groundwater condition, and initial geostress state, we propose the BP classification method for tunnel rocks, and we evaluated the BT method by using the analytic hierarchy process standard in an actual project. The comparison of the BT classification method and traditional BQ method reveals that the result of the former is more in accordance with the actual level of the excavated rock face than that of the latter method.
Abstract：By studying tunnel face images collected during a highway tunnel excavation, we establish the classification system of photolithography by MATLAB programming. According to the rock mass index (rock block size index or RBI) concept, 19 virtual lines are arranged in turn to the tunnel contour line, and the difference of the brazier rock mass structure is evaluated synthetically by 19 RBs of the radial direction of the face. Based on the structure, the distribution of comprehensive index of the rock mass structure (Z-RBI) is obtained through a comprehensive evaluation of the rock surface, and the corresponding relationship between the Z-RBI and rock structure type is determined. Considering the hardening degree of rock mass, the Z-RBI, groundwater condition, and initial geostress state, we propose the BP classification method for tunnel rocks, and we evaluated the BT method by using the analytic hierarchy process standard in an actual project. The comparison of the BT classification method and traditional BQ method reveals that the result of the former is more in accordance with the actual level of the excavated rock face than that of the latter method.
基金资助:Supported by the Science and Technology Innovation Project of Hunan Communications Department (No.201331);Changsha University of Science and Technology, Key Disciplines of Civil Engineering with Advantages and Characteristics, Innovation Fund Project (No.17ZDXK01)
通讯作者:
LIU Hou-xiang
E-mail: liuhoux1@163.com
引用本文:
柳厚祥, 查焕奕, 王真, 蒋武军. 基于掌子面结构量化的公路隧道围岩分级方法研究[J]. Journal of Highway and Transportation Research and Development, 2019, 13(3): 62-69.
LIU Hou-xiang, ZHA Huan-yi, WANG Zhen, JIANG Wu-jun. Classification Method for Surrounding Rock of Highway Tunnel Based on Quantization of Tunnel Face Structure. Journal of Highway and Transportation Research and Development, 2019, 13(3): 62-69.
[1] GUAN Bao-shu. The Actuality and Development of Surrounding Rock Classification in Other Countries[J]. Tunnel Corpus, 1972(4):1-3.(in Chinese)
[2] JTG D70-2004 Highway Tunnel Design Specification[S]. (in Chinese)
[3] WANG Ming-nian, HE Lin-sheng. Some Consideration on Road Tunnel Surrounding Rock Classification under Construction[J]. Guangdong Gonglu Jiaotong,1998, 54(S1):125-127. (in Chinese)
[4] SHEN Zhong-qi, GUAN Bao-shu. The Evaluation Method for Surrounding Rocks[J]. Journal of Shanghai Tie Dao University, 1998, l19(12):12-17. (in Chinese)
[5] TANG Hai,WAN Wen,LIU Jin-hai. Evaluation of Underground Cavern Rock Quality Based on Uncertainty Measure Theory[J]. Rock and Soil Mechanics,2011,32(4):1181-1185. (in Chinese)
[6] QI Sheng-wen,WU Fa-quan. Surrounding Rock Mass Quality Classification of Tunnel Cut by TBM with Fuzzy Mathematics Method[J]. Chinese Journal of Rock Mechanics and Engineering, 2011,30(6):1225-1229. (in Chinese)
[7] CHEN Jian-ping,FAN Jian-hua,LIU Di. Review and Prospect on the Application and Research of RQD[J]. Rock and Soil Mechanics,2005,26(S2):249-252. (in Chinese)
[8] MA Shu-zhi,JIA Hong-biao,TANG Hui-ming,et al. The Quality of Engineering Rock Mass Appraised with Cranny Ratio[J]. Hydrogeology and Engineering Geology,2002(1):10-12,23. (in Chinese)
[9] WANG Chuan-ying,HU Pei-liang,SUN Wei-chun. Method for Evaluating Rock Mass Integrity Based on Borehole Camera Technology[J]. Rock and Soil Mechanics,2010,31(4):1326-1330. (in Chinese)
[10] TIAN Sheng-li,GE Xiu-run,TU Zhi-jun. Testing Study on Digital Close Range Photogrammetry for Measuring Deformations of Tunnel and Underground Spaces[J]. Chinese Journal of Rock Mechanics and Engineering,2006,25(7):1309-1315. (in Chinese)
[11] WANG Feng-yan,CHEN Jian-ping,FU Xue-hui, et al. Study on Geometrical Information of Obtaining Rock Mass Discontinuities Based on Virtuo Zo[J]. Chinese Journal of Rock Mechanics and Engineering,2008,27(1):169-175. (in Chinese)
[12] WANG Yang,WANG Shu-hong,GUO Mu-dan,et al. Fast Digital Identification of Joint Information of Tunnel Work Face and Its Stability Analysis[J]. Chinese Journal of Geo-technical Engineering,2011,33(11):1734-1739. (in Chinese)
[13] LI Shu-cai,LIU Hong-liang,LI Li-ping,et al. A Quantitative Method for Rock Structure at Working Faces of Tunnels Based on Digital Images and Its Application[J].Chinese Journal of Rock Mechanics and Engineering, 2017,36(1):1-9. (in Chinese)
[14] HU Xie-wen,ZHONG Pei-lin,REN Zhi-gang. Rock mass Block Index and Its Engineering Practice Significance[J]. Journal of Hydraulic Engineering,2002,33(3):80-84.
[15] ZANG Xiu-ping, RUAN Han-ting, LI Ping, et al. Status Quo and Trends Analysis of Factors Considered in Rock Mass Classification Methods[J]. Rock and Soil Mechanics, 2007, 28(10):2245-2248. (in Chinese)
[16] CHEN Chang-yan, WANG Gui-rong. Discussion on the Interrelation of Various Rock Mass Quality Classification Systems at Home and Abroad[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(12):1894-1900. (in Chinese)
[17] LING Jian-bin, CAI Jing-jiang, JU Guang-hong, et al. Precise Measurement and Quantization about Joints of Rock Masses[J]. Chengdu:Chengdu University of Technology, 2001, 28(2):144-147. (in Chinese)
[18] XIANG Wen-fei, ZHOU Chuang-bing. The Advances in Investigation of Representative Elementary Volume for Fractured Rock Mass[J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(S2):5687-5692. (in Chinese)
2019, Vol. 13 
