Forward response analysis of shield advanced detection with moving array electrode

Authors

ZHAO Shuanfeng, College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
BAI Yunrui, College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
HUANG Tao, College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
WEI Mingle, College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

Abstract

Aiming at problems of serious electromagnetic interference, difficult application in TBM(Tunnel Boring Machine) tunnel construction and so on, a method of shield advanced detection based on moving array electrodes is adopted. Using Comsol Multiphysics finite element simulation software to establish geoelectric model, forward response analysis is carried out for various geological conditions. The results show that adding the protective electrodes can obviously enlarge the voltage distribution range, which means the detection range increases. In order to improve the detection effect, it is necessary to add protective electrodes. Changes in the size, shape and position of the anomalous body will exhibit regular changes on measured voltages distribution, which means this method has a good response to abnormal reaction. Though comparing the results of physical model experiment, the feasibility of the advanced detection method of shield based on moving array electrode is proved.

Keywords

shield advanced detection, forward response analysis, moving array electrode

DOI

10.3969/j.issn.10011986.2020.01.029

Recommended Citation

ZHAO Shuanfeng, BAI Yunrui, HUANG Tao, et al. (2020) "Forward response analysis of shield advanced detection with moving array electrode," Coal Geology & Exploration: Vol. 48: Iss. 1, Article 30.
DOI: 10.3969/j.issn.10011986.2020.01.029
Available at: https://cge.researchcommons.org/journal/vol48/iss1/30

Reference

[1] 李术才,刘斌,孙怀凤,等. 隧道施工超前地质预报研究现状及发展趋势[J]. 岩石力学与工程学报,2014,33(6):1090-1113. LI Shucai,LIU Bin,SUN Huaifeng,et al. State of art and trends of advanced geological prediction in tunnel construction[J]. Journal of Rock Mechanics and Engineering,2014,33(6):1090-1113.

[2] 强建科,阮百尧,周俊杰,等. 煤矿巷道直流三极法超前探测的可行性[J]. 地球物理学进展,2011,26(1):320-326. QIANG Jianke,RUAN Baiyao,ZHOU Junjie,et al. Feasibility of direct current three-pole method for advanced detection of coal mine roadways[J]. Progress in Geophysics,2011,26(1):320-326.

[3] 刘斌,李术才,李树忱,等. 隧道含水构造电阻率法超前探测正演模拟与应用[J]. 吉林大学学报(地球科学版),2012,42(1):246-253. LIU Bin,LI Shucai,LI Shuchen,et al. Forward modeling and application of advanced detection of tunnel water-bearing structural resistivity method[J]. Journal of Jilin University(Energy Science Edition),2012,42(1):246-253.

[4] 马炳镇,李貅. 矿井直流电法超前探测中巷道影响的数值模拟[J]. 煤田地质与勘探,2013,41(1):78-81. MA Bingzhen,LI Xiu. Numerical simulation of roadway impact in advanced detection of mine direct current method[J]. Coal Geology & Exploration,2013,41(1):78-81.

[5] 李术才,刘斌,李树忱,等. 基于激发极化法的隧道含水地质构造超前探测研究[J]. 岩石力学与工程学报,2011,30(7):1297-1309. LI Shucai,LIU Bin,LI Shuchen,et al. Study on advanced detection of tunnel water-bearing geological structure based on induced polarization method[J]. Journal of Rock Mechanics and Engineering,2011,30(7):1297-1309.

[6] 占文锋,武玉梁,李文. 矿井直流电法全空间电场分布数值模拟及影响因素[J]. 煤田地质与勘探,2018,46(1):139- 147. ZHAN Wenfeng,WU Yuliang,LI Wen. Numerical simulation of full-space electric field distribution by mine direct current method and its influencing factors[J]. Coal Geology & Exploration,2018,46(1):139-147.

[7] 宋先海,顾汉明,肖柏勋. 我国隧道地质超前预报技术述评[J]. 地球物理学进展,2006,21(2):605-613. SONG Xianhai,GU Hanming,XIAO Baixun. Overview of tunnel geological advanced prediction in China[J]. Progress in Geophysics,2006,21(2):605-613.

[8] 朱劲,李天斌,李永林,等. Beam超前地质预报技术在铜锣山隧道中的应用[J]. 工程地质学报,2007,15(2):258-262. ZHU Jin,LI Tianbin,LI Yonglin,et al. Application of an electrical method "BEAM" for advanced geological exploration to tunneling in Tongluo mountains for Dian-Lin highway[J]. Journal of Engineering Geology,2007,15(2):258-262.

[9] 高昕星,赵斌,路丽勇,等.基于光纤电流传感的BEAM隧道超前地质预报方法[J]. 物探与化探,2018,42(2):412-421. GAO Xinxing,ZHAO Bin,LU Liyong,et al. BEAM tunnel advanced geological prediction method based on optical fiber current sensing[J]. Geophysical and Geochemical Exploration,2018,42(2):412-421.

[10] PETRICK W R,SILL W R,WARDS S H. Three-dimensional resistivity inversion using alpha centers[J]. Geophysics,1981,46(8):1148-1162.

[11] 朱国力,郭千,张春草. 基于APDL的隧道直流聚焦电场仿真[J]. 华中科技大学学报(自然科学版),2015,43(12):52-55. ZHU Guoli,GUO Qian,ZHANG Chuncao. Simulation of DC focused electric field in tunnel based on APDL[J]. Journal of Huazhong University of Science and Technology(Natural Science Edition),2015,43(12):52-55.

[12] 刘斌. 基于电阻率法与激电法的隧道含水地质构造超前探测与突水灾害实时监测研究[D]. 济南:山东大学,2010. LIU Bin. Study on the water-bearing structure advanced detection and water inrush hazards real-time monitoring in tunnel based on resistivity method and polarization method[D]. Jinan:Shandong University,2010.

[13] 阮百尧,邓小康,刘海飞,等. 坑道直流电阻率超前聚焦探测新方法研究[J]. 地球物理学报,2009,52(1):289-296. RUAN Baiyao,DENG Xiaokang,LIU Haifei,et al. Study on a new method for advanced focused detection of DC resistivity in tunnels[J]. Chinese Journal of Geophysics,2009,52(1):289-296.

[14] 许文彬,张华良. 基于三角形连接的有限元网格划分[J]. 计算机技术与发展,2011,21(9):59-62. XU Wenbin,ZHANG Hualiang. Finite element mesh generation based on delta connection scheme[J]. Computer Technology and Development,2011,21(9):59-62.

[15] 解海军,李志强,栗升. 线源直流电法有限元二维正演模拟[J].煤田地质与勘探,2019,47(1):194-199. XIE Haijun,LI Zhiqiang,LI Sheng. Finite element 2-D forward simulation by linear direct current method[J]. Coal Geology & Exploration,2019,47(1):194-199.

[16] 李于锋. 非结构网格自适应细化的实现与应用[J]. 机械工程与自动化,2013(1):1-3. LI Yufeng. Implementation and application of adaptive refinement of unstructured grid[J]. Mechanical Engineering and Automation,2013(1):1-3.