基于数值试验的山岭隧道围岩稳定性GIS-SVM预测

doi:10.13722/j.cnki.jrme.2019.0276

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摘要山岭地区地质条件复杂多变，隧道围岩失稳事故频发，如何实现隧道全程围岩稳定性准确地预测评价意义重大。因此，将数值模拟试验、支持向量机(SVM)和GIS技术相结合，提出一种GIS-SVM联合的隧道全程围岩稳定性可视化预测评价的新方法。首先，在现有研究成果归纳总结基础上，选取包括弹性模量、泊松比等在内的7个围岩稳定性评价指标，通过FLAC3D中强度折减法对评价指标进行模拟，获取SVM训练样本。然后，在样本训练的基础上，建立SVM评价模型。最后，基于GIS平台，将建立的SVM评价模型仿真到重庆市中梁山白市驿隧道，研究区域被划分为很稳定、稳定、较稳定、基本稳定、欠稳定和不稳定6个等级，得到隧道全程的稳定性预测评价图。另外，通过隧道全程穿越各不良地质条件地段的对比分析，验证了预测结果的有效性。研究结果以期为保证山岭隧道全程在施工和运营阶段的安全稳定提供科学依据。

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	谢朋5
	薛靖元3

关键词 ：隧道工程, 山岭隧道, 数值试验, 支持向量机, 地理信息系统, 联合评价方法, 围岩稳定性

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.

Key words： tunnelling engineering mountain tunnel numerical experiment support vector machine(SVM) geographic information system(GIS) combined evaluation method surrounding rock stability

引用本文:

文海家1，2，3，黄健豪3，袁性涵4，谢朋5，薛靖元3. 基于数值试验的山岭隧道围岩稳定性GIS-SVM预测[J]. 岩石力学与工程学报, 2020, 39(S1): 2920-2929.
WEN Haijia1，2，3，HUANG Jianhao3，YUAN Xinghan4，XIE Peng5，XUE Jingyuan3. GIS-SVM prediction of surrounding rock stability in mountain tunnel based on numerical experiment. , 2020, 39(S1): 2920-2929.

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http://rockmech.whrsm.ac.cn/CN/10.13722/j.cnki.jrme.2019.0276 或 http://rockmech.whrsm.ac.cn/CN/Y2020/V39/IS1/2920

[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)).
[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.
[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))
[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.
[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))
[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.
[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))
[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))
[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))
[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))
[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.
[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.
[11]	PERAZZELLI P，LEONE T，ANAGNOSTOU G. Tunnel face stability under seepage flow conditions[J]. Tunnelling and Underground Space Technology，2014，43：459–469.
[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))
[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))
[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))
[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))
[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)).
[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.
[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.
[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))