|
|
|
| GIS-SVM prediction of surrounding rock stability in mountain tunnel based on numerical experiment |
| WEN Haijia1，2，3，HUANG Jianhao3，YUAN Xinghan4，XIE Peng5，XUE Jingyuan3 |
| (1. National Joint Engineering Research Center for Prevention and Control of Environmental GeoHazards in the TGR Area，Chongqing University，Chongqing 400044，China；2. Key Laboratory of New Technology for Construction of Cities in Mountain Area of Ministry of Education，Chongqing University，Chongqing 400045，China；3. School of Civil Engineering，Chongqing University，Chongqing 400045，China；4. China Railway Eryuan Engineering Group (Chongqing) Survey，Design and Research Co.，Ltd.，Chongqing 400023，China；5. College of Civil Engineering and Architecture，Hainan University，Haikou，Hainan 570228，China) |
|
|
|
|
Abstract The geological conditions in mountainous areas are complex and changeable，thus accidents of tunnel surrounding rock occur frequently. It is of great significance to accurately predict and evaluate the stability of surrounding rock in the whole course of tunnel. Therefore，by combining the numerical simulation test，the support vector machine(SVM) and GIS technology，this paper proposed a GIS-SVM combined method for visual prediction and evaluation of the surrounding rock stability of the tunnel. Firstly，on basis of the existing research results，seven evaluation indexes of surrounding rock stability including elasticity modulus and Poisson’s ratio were selected，SVM training samples were obtained by using the strength reduction method and the numerical simulation in FLAC3D. Afterwards，the SVM evaluation model was established based on the sample. Finally，based on the GIS platform，the established SVM evaluation model was simulated to the Baishiyi tunnel of Zhongliang mountain in Chongqing. The research area was divided into six grades：very stable，stable，relatively stable，basically stable，under stable and unstable，and then the stability prediction and evaluation map of the tunnel was formed. Furthermore，the effectiveness of the prediction was verified by the comparative analysis of the various bad geological conditions. Research results are expected to provide scientific grounds which can ensure the safety and stability of mountain tunnel at the construction and operation stage.
|
|
|
|
|
|
| [1] 文海家，胡 晶，谢 朋，等. 含2条软弱夹层的隧道围岩开挖过程破坏模式研究[J]. 中国公路学报，2018，31(10)：220–229.(WEN Haijia，HU Jing，XIE Peng，et al. Failure modes of rocks surrounding tunnel with two weak interlayers during Excavation[J]. China Journal of Highway and Transport，2018，31(10)：220–229.(in Chinese)).
[2] 李天斌，潘皇宋，陈国庆，等. 热–力作用下隧道岩爆温度效应的物理模型试验[J]. 岩石力学与工程学报，2018，37(2)：261–273.(LI Tianbin，PAN Huangsong，CHEN Guoqing，et al. Physical model tests on thermo-mechanical effects in rockbursts around tunnels[J]. Chinese Journal of Rock Mechanics and Engineering，2018，37(2)：261–273.(in Chinese)).
[3] JIANG Q，SONG S G，LI T，et al. Study on surrounding rock stability of small clear-distance twin highway tunnel with eight lanes[J]. Geotechnical and Geological Engineering，2019，37(2)：593–598.
[4] 钟志彬，邓荣贵，孙 怡，等. 隧道近距大节理硬脆性围岩破裂机理[J]. 中国公路学报，2018，31(5)：106–116.(ZHONG Zhibin，DENG Ronggui，SUN Yi，et al. Fracture mechanism of hard and brittle tunnel surrounding rock with nearby large joints[J]. China Journal of Highway and Transport，2018，31(5)：106–116.(in Chinese))
[5] 蒋 锋，唐礼忠，高龙华. 不同倾角结构面组合下巷道围岩稳定性数值分析[J]. 铁道科学与工程学报，2015，12(5)：1 157–1 163. (JIANG Feng，TANG Lizhong，GAO Longhua. Numerical analysis of the stability of surrounding rock of roadway of composite structure under different angles[J]. Journal of Railway Science and Engineering，2015，12(5)：1 157–1 163.(in Chinese))
[6] 程选生，郑颖人，田瑞瑞. 隧道围岩结构地震动稳定性分析的动力有限元强度折减法[J]. 岩土力学，2011，32(4)：1 241–1 248. (CHENG Xuansheng，ZHENG Yingren，TIAN Ruirui. Dynamic finite element strength reduction method of earthquake stability analysis of surrounding rock of tunnel[J]. Rock and Soil Mechanics，2011，32(4)：1 241–1 248.(in Chinese))
[7] 伍毅敏，李文博，傅鹤林，等. 季冻区隧道过渡段二衬短周期冻融数值模拟[J]. 岩土工程学报，2017，39(10)：1 930–1 935.(WU Yimin，LI Wenbo，FU Helin，et al. Numerical simulation of freeze-thaw in short period of secondary lining at tunnel transition section in seasonal frozen area[J]. Chinese Journal of Geotechnical Engineering，2017，39(10)：1 930–1 935.(in Chinese))
[8] HE P，LI S C，LI L P，et al. Discontinuous deformation analysis of super section tunnel surrounding rock stability based on joint distribution simulation[J]. Computers and Geotechnics，2017，91：218–229.
[9] 王凤云，钱德玲. 基于统一强度理论深埋圆形隧道围岩的剪胀分析[J]. 岩土力学，2019，40(5)：1 966–1 976.(WANG Fengyun，QIAN Deling. Dilatancy analysis for a circular tunnel excavated in rock mass based on unified strength theory[J]. Rock and Soil Mechanics，2019，40(5)：1 966–1 976.(in Chinese))
[10] FRALDI M，GUARRACINO F. Limit analysis of progressive tunnel failure of tunnels in Hoek-Brown rock mass[J]. International Journal of Rock Mechanics and Mining Sciences，2012，50：170–173.
[11] PERAZZELLI P，LEONE T，ANAGNOSTOU G. Tunnel face stability under seepage flow conditions[J]. Tunnelling and Underground Space Technology，2014，43：459–469.
[12] UKRITCHON B，KEAWSAWASVONG S. Stability of unlined square tunnels in Hoek-Brown rock masses based on lower bound analysis[J]. Computers and Geotechnics，2019，105：249–264.
[13] MAHDEVARI S，HAGHIGHAT H S，TORABI S R. A dynamically approach based on SVM algorithm for prediction of tunnel convergence during excavation[J]. Tunnelling and Underground Space Technology，2013，38：59–68.
[14] LI W，TAN Z Y. Research on rock strength prediction based on least squares support vector machine[J]. Geotechnical and Geological Engineering，2017，35：385–393.
[15] 贺 鹏，李术才，李利平，等. 基于数据挖掘的隧道围岩变形响应预测与动态变更许可机制[J]. 岩石力学与工程学报，2017，36(12)：2 940–2 953.(HE Peng，LI Shucai，LI Liping，et al. Prediction of deformation response in surrounding rock of tunnels and permit mechanism of dynamic change based on data mining[J]. Chinese Journal of Rock Mechanics and Engineering，2017，36(12)：2 940–2 953.(in Chinese))
[16] RAJABI M，RAHMANNEJad R，REZAEI M，et al. Evaluation of the maximum horizontal displacement around the power station caverns using artificial neural network[J]. Tunnelling and Underground Space Technology，2017，64：51–60.
[17] 柳厚祥，李汪石，查焕奕，等. 基于深度学习技术的公路隧道围岩分级方法[J]. 岩土工程学报，2018，40(10)：1 809–1 817.(LIU Houxiang，LI Wangshi，ZHA Zhuanyi，et al. Method for surrounding rock mass classification of highway tunnels based on deep learning technology[J]. Chinese Journal of Geotechnical Engineering，2018，40(10)：1 809–1 817.(in Chinese))
[18] 袁性涵. 基于数值实验的隧道全程围岩稳定性智能评价研究[硕士学位论文][D]. 重庆：重庆大学，2016.(YUAN Xinghan. The study on the intelligent evaluation of stability of the whole tunnel surrounding rock based on numerical experiments[M. S. Thesis][D]. Chongqing：Chongqing University，2016.(in Chinese))
[19] 重庆市勘测院. 重庆市主城区中梁山白市驿隧道地质调查报告[R].重庆：重庆市勘测院，2014.(Chongqing Survey Institute. Geological survey report of Zhongliangshan Baishiyi tunnel in Chongqing[R]. Chongqing：Chong Survey Institute，2014.(in Chinese))
[20] 中华人名共和国行业标准编写组. JGJ D70—2004公路隧道设计规范[S]. 北京：人民交通出版社，2004.(The Professional Standards Compilation Gronp of People′s Republic of China. JGJ D70—2004 Specifications for design of highway tunnels[S]. Beijing：China Communications Press，2004.(in Chinese))
[21] 中华人民共和国国家标准编写组. GB 50487—2008水利水电工程地质勘测规范[S]. 北京：中国计划出版社，2009.(The National Standards Compilation Group of People′s Republic of China. GB 50487—2008 Code for geological surveying of water resources and hydroelectric engineering[S]. Beijing：China Planning Press，2009.(in Chinese))
[22] 武亚遵，田 方，正林云，等. 基于强度折减法的软弱泥岩隧道围岩稳定性分析[J]. 中国地质灾害与防治学报，2018，29(5)：65–71.(WU Yazun，TIAN Fangzheng，LIN Yun，et al. Analysis on the tunnel surrounding rock stability of weak mudstone based on strength reduction method[J]. The Chinese Journal of Geological Hazard and Control，2018，29(5)：65–71.(in Chinese))
[23] 王 琦，孙会彬，江 贝，等. 基于数字钻探和支持向量机预测岩体单轴抗压强度的方法[J]. 岩土力学，2019，40(3)：1 221–1 228.(WANG Qi，SUN Huibin，JIANG Bei，et al. A method for predicting uniaxial compressive strength of rock mass based on digital drilling test technology and support vector machine[J]. Rock and Soil Mechanics，2019，40(3)：1 221–1 228.(in Chinese))
[24] HUANG G，QIU W G，ZHANG J R. Modelling seismic fragility of a rock mountain tunnel based on support vector machine[J]. Soil Dynamics and Earthquake Engineering，2017，102：160–171.
[25] 杜世回. 基于稳定性概念的铁路隧道围岩分级研究[J]. 铁道标准设计，2012，(9)：77–80.(DU Shihui. Research on surrounding rock classification based on the concept of stability in railway tunnel[J]. Railway Standard Design，2012，(9)：77–80.(in Chinese)) |
| [1] |
MAO Yuting1, 2, HE Manchao1, 2, LIU Fangzhou3, BAI Xing4, YANG Xiaojie1, 2, TAO Zhigang1, 2*. Development and application of a large-scale physical model system for tunnel creep testing[J]. , 2026, 45(6): 1627-1638. |
|
|
|
|
2020, Vol. 39 
