img

Wechat

  • CN 62-1112/TF 
  • ISSN 1005-2518 
  • Founded in 1988
Adv. Search

Recognition and Stability Analysis of Underground Tunnel Rock Mass Structural Plane Based on 3D Laser Scanning Point Cloud Data

  • Jielin LI ,
  • Dewei BAI ,
  • Chengye YANG ,
  • Wei ZHANG ,
  • Xiaoping ZHANG
Expand
  • 1.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
    2.State Key Laboratory of Safety and Health for Metal Mine, Maanshan 243000, Anhui, China
    3.Yuxi Dahongshan Mining Co. , Ltd. , Yuxi 653100, Yunan, China
    4.Tianhe Daoyun (Beijing) Technology Co. , Ltd. , Beijing 100176, China

Received date: 2021-06-05

  Revised date: 2021-09-15

  Online published: 2022-09-14

Abstract

The surrounding rock of the underground tunnel is distributed with structural planes of different occurrences and sizes. The structural planes determine the deformation characteristics and stress-strain mode of the rock mass to a certain extent,which weaken the stability of the rock mass locally,which has a significant impact on the safety of the tunnel engineering. It is very necessary to carry out the engineering geological survey of the underground tunnel and the quantitative analysis of the rock mass structure. To get the structural plane information of the underground tunnel accurately and do stability analysis for the surrounding rock of the tunnel,a three-dimensional laser scanner was used to obtain the point cloud data of the surrounding rock structural plane in the 775 m level drift of the Dahongshan iron mine in Yunnan. A series of work such as correction,structure surface data extraction,point cloud splicing,filtering and thinning,etc.,carried out statistical analysis based on the processing results. According to this statistical result,the discrete element software 3DEC is used to establish the discrete structure network model and a coupling model of an underground tunnel,and numerical simulation of the instability probability of the tunnel under its own weight and blasting vibration is carried out. The results show that the 3D laser scanning technology can better obtain the rock mass discontinuities information of the drift,and the discrete block unit calculation software can further analyze the stability of the drift rock block. The self-stabilizing ability of the surrounding rock in the analyzed area is good,but the instability probability increases greatly under the influence of blasting vibration. The research result can provide theoretical guidance for the support design of the tunnel.

Cite this article

Jielin LI , Dewei BAI , Chengye YANG , Wei ZHANG , Xiaoping ZHANG . Recognition and Stability Analysis of Underground Tunnel Rock Mass Structural Plane Based on 3D Laser Scanning Point Cloud Data[J]. Gold Science and Technology, 2022 , 30(3) : 343 -351 . DOI: 10.11872/j.issn.1005-2518.2022.03.070

References

null Cacciari P P, Futai M M,2015a.Mapping and characterization of rock discontinuities in a tunnel using 3D terrestrial laser scanning[J].Bulletin of Engineering Geology and the Environment,75:223-237.
null Cacciari P P, Morikawa D S, Marcos M M,2015b.Modelling a railway rock tunnel using terrestrial laser scanning and the distinct element method[J].Integrating Innovations of Ro-ck Mechanics,10:101-108.
null Deng Shegen, Sha Ronghua, Qu Shengjun,2018.Application of structural plane network simulation in slope stability analysis[J].China’s Strategic Emerging Industries,10(2):67-68.
null Duan Lei, Luo Xiaofeng, Peng Xuejun,et al,2020.Application of 3D laser scanning technology in tunnel monitoring and measurement[J].Engineering and Technological Resear-ch,5(21):232-234.
null Fan Liuming, Huang Runqiu, Ding Xiumei,2003.Analysis on structural homogeneity of rock mass based on discontinuity density[J].Chinese Journal of Rock Mechanics and Engineering,22(7):1132-1136.
null Fekete S, Diederichs M,2013.Integration of three-dimensional laser scanning with discontinuum modelling for stability analysis of tunnels in blocky rockmasses[J].International Journal of Rock Mechanics and Mining Sciences,57:12-23.
null Hadgu T, Karra S, Kalinina E,et al,2017.A comparative study of discrete fracture network and equivalent continuum models for simulating flow and transport in the far field of a hypothetical nuclear waste repository in crystalline host rock[J]. Journal of Hydrology,553:59-70.
null Hekmatnejad A, Emery X, Vallejos J A,2018.Robust estimation of the fracture diameter distribution from the true trace length distribution in the Poisson-disc discrete fracture network model[J].Computers and Geotechnics,95:137-146.
null Li Jielin, Yang Chengye, Peng Chaozhi,et al,2021.Application of 3D laser scanning technology to identification of rockmass structural plane in drift of underground mine[J].Gold Science and Technology,29(2):236-244.
null Li Mingchao, Zhang Ye, Zhou Sibao,2018.Stability analysis of stochastic rock blocks based on three-dimensional fracture network bock mass structure model[J].Journal of Tianjin University(Science and Technology),51(4):332-338.
null Li Teng, Zhang Zhenhua, Shi Chao,et al,2017.Simulation of the structural plane of the deep rock mass based on Monte Carlo method[J].Modern Mining,33(4):167-177.
null Liu Huan, Wang Lijuan, Pei Nisong,et al,2017.The application of three-dimensional laser scanning technology in micangshan extra-long tunnel construction[J].Bulletin of Surveying and Mapping,9(1):83-86.
null Lorig L J, Darcel C, Damjanac B,et al,2015.Application of discrete fracture networks in mining and civil geomechanics[J].Mining Technology,124:239-254.
null Monsalve J J, Baggett J, Bishop R,et al,2019.Application of laser scanning for rock mass characterization and discrete fracture network generation in an underground limestone mine[J].International Journal of Mining Science and Technology,29:132-137.
null Ruan Jie, Zhang Jinlong, Zhang Chenghui,et al,2021.Numerical simulation research on the influence of discrete fracture network on the mechanical properties of rock mass[J].Journal of Hebei University of Engineering(Natural Science Edition),38(1):40-46.
null Shang J, West L J, Hencher S R,et al,2018.Geological discontinuity persistence:Implications and quantification[J].Engineering Geology,241:41-54.
null Sheng Jia, Wan Wen, Jiang Feifei,et al,2021.Comprehensive evaluation on stability of shaft safety pillar based on AHP-3DEC[J].Mining Research and Development,41(5):28-33.
null Sturzenegger M, Stead D, Elmo D,2011.Terrestrial remote sensing-based estimation of mean trace length,trace intensity and block size/shape[J].Engineering Geology,9:97-111.
null Wang Hui, Qian Haitao,2005.The technique and application of assessing the distributing density of structures in rock mass[J].Earth and Environment,33(1):124-129.
null Xu W T, Zhang Y S, Li X Z,et al,2020.Extraction and statistics of discontinuity orientation and trace length from typical fractured rock mass:A case study of the Xinchang underground research laboratory site,China [J].Engineering Geology,269:1-10.
null Xue Qiuchi, Zhao Qihua, He Yunsong,2016.Improvement and application of network simulation of rock mass discontinuities[J].Chinese Journal of Geotechnical Engineering,38(7):1352-1356.
null Yin T C, Chen Q F,2020.Simulation-based investigation on the accuracy of discrete fracture network(DFN) representation[J].Computers and Geotechnic,121:1-14.
null Yue Pan, Zhong Denghua, Wu Han,et al,2016.Simulations of 3-D fracture networks in rock mass of dam foundation using Latin hypercube sampling[J].Journal of Hydroelectric Engineering,35(10):93-102.
null Zhang Wen, Chen Jianping, Niu Cencen,et al,2013.Determination of RQD and number of optimum scanlines based on three-dimensional fracture network[J].Chinese Journal of Geotechnical Engineering,35(2):321-327.
null Zhou Bin, He Mingwei, Zhu Fangcai,et al,2021. Numerical simulation of jointed rock mass tunnel excavation and support based on 3DEC[J].Journal of Hunan University of Technology,35(3):11-18.
null Zhang L, Einstein H H,2000.Estimating the intensity of rock discontinuities[J].International Journal of Rock Mechanics and Mining Sciences,37(5):819-837.
null 邓社根,沙荣华,瞿生军,2018.结构面网络模拟在边坡稳定性分析中的应用[J].中国战略新兴产业,10(2):67-68.
null 段磊,罗晓丰,彭学军,等,2020.三维激光扫描技术在隧道监控量测中的应用[J].工程技术研究,5(21):232-234.
null 范留明,黄润秋,丁秀美,2003.一种基于结构面密度的岩体结构均质区划分方法[J].岩石力学与工程学报,22(7):1132-1136.
null 李杰林,杨承业,彭朝智,等,2021.三维激光扫描技术在地下巷道岩体结构面识别的应用[J].黄金科学技术,29(2):236-244.
null 李明超,张野,周四宝,2018.基于岩体三维裂隙结构面网络模型的随机块体稳定分析[J].天津大学学报(自然科学与工程技术版),51(4):332-338.
null 李腾,张振花,石超,等,2017.基于蒙特卡洛方法的深部岩体结构面模拟[J].现代矿业,33(4):167-177.
null 刘欢,王立娟,裴尼松,等,2017.三维激光扫描技术在米仓山特长隧道施工中的可行性应用研究[J].测绘通报,9(1):83-86.
null 阮杰,张金龙,张成辉,等,2021.离散裂隙网络对岩体力学特性影响数值模拟研究[J].河北工程大学学报(自然科学版),38(1):40-46.
null 盛佳,万文,江飞飞,等,2021.基于AHP-3DEC的井筒保安矿柱稳定性综合评价[J].矿业研究与开发,41(5):28-33.
null 王辉,钱海涛,2005.节理化岩体结构面分布密度的确定方法及其应用[J].地球与环境,33(1):124-129.
null 薛秋池,赵其华,何云松,2016.岩体结构面网络模拟的改进与应用[J].岩土工程学报,38(7):1352-1356.
null 岳攀,钟登华,吴含,等,2016.基于LHS的坝基岩体三维裂隙网络模拟[J].水力发电学报,35(10):93-102.
null 张文,陈剑平,牛岑岑,等,2013.基于三维裂隙网络RQD的确定及最佳测线数量的研究[J].岩土工程学报,35(2):321-327.
null 周斌,何明卫,祝方才,等,2021.基于 3DEC 节理岩体隧道开挖与支护的数值模拟[J].湖南工业大学学报,35(3):11-18.
Outlines

/