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  • CN 62-1112/TF 
  • ISSN 1005-2518 
  • 创刊于1988年
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采选技术与矿山管理

基于综合权重—模糊物元法的岩溶地区隧道围岩质量评价

  • 张卫中 ,
  • 袁威 ,
  • 康钦容 ,
  • 夏缘帝 ,
  • 李梦玲
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  • 武汉工程大学资源与安全工程学院,湖北 武汉 430073
张卫中(1977-),男,河南驻马店人,博士后,教授,从事岩石力学相关科研及设计工作。wzzhang1120@126.com

收稿日期: 2022-10-21

  修回日期: 2023-02-14

  网络出版日期: 2023-07-20

基金资助

国家自然科学基金项目“中低品位磷矿山固废胶结体宏细观损伤特性及充填空区力学效应研究”(52174086);国家自然科学基金项目“顺层坡含碎石滑带土变形及渗流特性研究”(51804222);武汉工程大学研究生教育创新基金(CX2019107)

Quality Evaluation of Tunnel Surrounding Rock in Karst Area Based on Comprehensive Weight-Fuzzy Matter-element Method

  • Weizhong ZHANG ,
  • Wei YUAN ,
  • Qinrong KANG ,
  • Yuandi XIA ,
  • Mengling LI
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  • School of Resources and Safety Engineering,Wuhan Institude of Technology,Wuhan 430073,Hubei,China

Received date: 2022-10-21

  Revised date: 2023-02-14

  Online published: 2023-07-20

摘要

为科学、准确地对岩溶隧道进行围岩质量分级评价,提出了基于综合权重—模糊物元法的岩溶地区隧道围岩质量评价方法。根据实测数据,采用CRITIC法确定影响岩溶地区隧道围岩质量指标的客观权重,采用改进的层次分析法确定其主观权重,并利用组合赋权计算得出各项指标的综合权重,最终根据模糊物元理论确定围岩的分级。为验证该方法的有效性,将其应用于岩溶地区腾讯七星数据中心隧道群围岩质量评价中。研究结果表明:基于综合权重—模糊物元法的岩溶地区隧道围岩质量评价判定结果与实际现场分级情况吻合较好,说明该方法能够实现对岩溶隧道围岩质量的综合判定。

本文引用格式

张卫中 , 袁威 , 康钦容 , 夏缘帝 , 李梦玲 . 基于综合权重—模糊物元法的岩溶地区隧道围岩质量评价[J]. 黄金科学技术, 2023 , 31(3) : 487 -496 . DOI: 10.11872/j.issn.1005-2518.2023.03.153

Abstract

The distribution area of karst in China can reach about 33% of the country’s land area,therefore,in the process of tunnel excavation and construction in karst area,it is inevitable to cross the karst development location.At the same time,due to the hidden nature and irregularity of karst development,water and mud surges may occur locally in tunnel excavation,which greatly reduces the safety and stability of the tunnel and easily causes collapse accidents and threatens construction safety.To solve this problem,the geological situation of the surrounding rock needs to be fully grasped.Therefore,the evaluation of the quality of the surrounding rock is of great significance to the safety of tunnel rock design and construction.In order to scientifically and accurately evaluate the surrounding rock quality of karst tunnels,CRITIC method was used to determine the objective weight of the surrounding rock quality index affecting the tunnel in karst areas according to the measured data.The improved analytic hierarchy process was used to determine the subjective weight,and the combined weight was used to calculate the comprehensive weight of each index.Finally,the classification of surrounding rock was determined according to the fuzzy matter-element theory.Thus,the evaluation method of surrounding rock quality of tunnel in karst areas based on the comprehensive weight-fuzzy matter-element method was proposed,and this method was applied to the evaluation of surrounding rock quality of tunnel group in the seven-star data center of Tencent in karst areas.The research results show that the comprehensive fuzzy evaluation model established by introducing variance coefficients to the CRITIC method and introducing optimal transfer matrix optimization AHP method can avoid the influence of purely human subjective factors and evaluate and grade the rock quality more objectively and comprehensively.The evaluation results are in good agreement with the actual on-site grading,and the method can achieve a more scientific and accurate comprehensive determination of karst tunnel quality.The rock quality of the tunnel in this project example is mainly Ⅳ and Ⅴ surrounding rocks,which are poor and less stable,and the support of the surrounding rocks need to strengthen.

参考文献

null Aydan ?, Ulusay R, Tokashiki N,et al,2014.A new rock mass quality rating system:Rock mass quality rating (RMQR) and its application to the estimation of geomechanical characteristics of rock masses[J].Rock Mechanics and Rock Engineering,47(4):1255-1276.
null Cai Wen, Guo Kaizhong, Xu Chulong,et al,1986.Matter element analysis on the investment for the environmental protection project of Guangdong Province[J].Journal of Guangdong Institute of Technology,(2):15-31.
null Diakoulaki D, Mavrotas G, Papayannakis L,et al,1995.Determining objective weights in multiple criteria problems:The CRITIC method[J].Computers and Operations Research,22(7):763-770.
null Guo S F, Qi S W, Saroglou C,et al,2020.A-BQ a classification system for anisotropic rock mass based on China National Standard[J].Journal of Central South University,27(10):3090-3102.
null He P, Wang G, Sun S Q,et al,2020.Reliable stability analysis of surrounding rock for super section tunnel based on digital characteristics of joint information[J].Geomatics,Natural Hazards and Risk,11(1):1528-1541.
null Jiang Jie, Pu Ou, Xiaodu Ou,et al,2018.Expert system of surrounding rock classification for highway tunnel in karst region:Design and application[J].Journal of Yangtze River Scientific Research Institute,35(7):94-99.
null Li F W, Phoon K K, Du X L,et al,2013.Improved AHP method and its application in risk identification[J].Journal of Construction Engineering and Management,139(3):312-320.
null Li Qingbo, Du Pengzhao,2020.Automatic RQD analysis method based on information recognition of borehole images[J].Chinese Journal of Geotechnical Engineering,42(11):2153-2160.
null Liu Feiyue, Liu Yihan, Yang Tianhong,et al,2021.Meticulous evaluation of rock mass quality in mine engineering based on machine learning of core photos[J].Chinese Journal of Geotechnical Engineering,43(5):968-974.
null Ma Shiwei, Li Shouding, Li Xiao,et al,2020.KNN method for intelligent observational classification of rock mass quality in tunnel[J].Journal of Engineering Geology,28(6):1415-1424.
null Mu Chenglin, Huang Runqiu, Pei Xiangjun,et al,2016.Evaluation of rock stability based on combined weighting-unascertained measurement theory[J].Chinese Journal of Geotechnical Engineering,38(6):1057-1063.
null Niu Wenlin, Li Tianbin,2015. Optimization of BQ method used in rock mass quality evaluation of rockburst tunnel[J].Journal of Chengdu University of Technology(Natural Science Edition),42(6):658-664.
null Wang J C, Guo J,2019.Research on rock mass quality classification based on an improved rough set-cloud model[J].IEEE Access,(7):123710-123724.
null Wang Jiaquan, Bai Lei, Lin Zhinan,et al,2020.Analysis of bearing failure characteristics of reinforced soil foundation in karst area[J].Journal of Natural Disasters,29(5):173-181.
null Wang Shaoyong, Wu Aixiang, Han Bin,et al,2014.Fuzzy matter-element evaluation of ore-rock cavability in block caving method[J].Chinese Journal of Rock Mechanics and Engineering,33(6):1241-1247.
null Wang Wenwen,2019.Research on Regional Ecological Security Evaluation Based on Improved CRITIC-Cloud Model[D].Huainan:Anhui University of Science and Technology.
null Wang Xinyi, Yao Mengjie, Zhang Jianguo,et al,2019.Evaluation of water bursting in coal seam floor based on improved AHP and fuzzy variable set theory[J].Journal of Mining and Safety Engineering,36(3):558-565.
null Wu Xianguo, Wang Hongtao, He Yun,et al,2018.Excavation stability evaluation of karst tunnel based on fuzzy matter-element[J].China Safety Science Journal,28(1):99-104.
null Yin Xin, Liu Quansheng, Wang Xinyu,et al,2020.Prediction model of rockburst intensity classification based on combined weighting and attribute interval recognition theory[J].Journal of China Coal Society,45(11):3772-3780.
null Zhang Kai,2012.Study on Method and Application of Surrounding Rock Dynamic Classification of the Karst Tunnel—Taking the Karst Tunnels in Xuda Railway as Example[D].Chengdu:Chengdu University of Technology.
null Zhang Q, Jiang Q, Li Y H,et al,2021.Quality evaluation of rock mass using RMR14 based on multi-source data fusion[J].Sensors,21(21):7108-7108.
null Zhou Tan, Hu Jianhua, Kuang Ye,et al,2019.Rock mass quality evaluation method and application based on fuzzy RES-multidimensional cloud model[J].The Chinese Journal of Nonferrous Metals,29(8):1771-1780.
null 蔡文,郭开仲,许楚龙,等,1986.广东环境投资的物元分析[J].广东工学院学报,(2):15-31.
null 江杰,蒲鸥,欧孝夺,等,2018.岩溶区公路隧道围岩分级专家系统设计与应用[J].长江科学院院报,35(7):94-99.
null 李清波,杜朋召,2020.基于边缘阈值分割的钻孔图像RQD自动分析方法研究[J].岩土工程学报,42(11):2153-2160.
null 刘飞跃,刘一汉,杨天鸿,等,2021.基于岩芯图像深度学习的矿山岩体质量精细化评价[J].岩土工程学报,43(5):968-974.
null 马世伟,李守定,李晓,等,2020.隧道岩体质量智能动态分级KNN方法[J].工程地质学报,28(6):1415-1424.
null 穆成林,黄润秋,裴向军,等,2016.基于组合赋权—未确知测度理论的围岩稳定性评价[J].岩土工程学报,38(6):1057-1063.
null 牛文林,李天斌,2015.岩爆隧道岩体质量评价的BQ法优化[J].成都理工大学学报(自然科学版),42(6):658-664.
null 王家全,柏蕾,林志南,等,2020.岩溶区下伏溶洞加筋土地基承载破坏特性分析[J].自然灾害学报,29(5):173-181.
null 王少勇,吴爱祥,韩斌,等,2014.自然崩落法矿岩可崩性模糊物元评价方法[J].岩石力学与工程学报,33(6):1241-1247.
null 王雯雯,2019.基于改进CRITIC-云模型的区域生态安全评价研究[D].淮南:安徽理工大学.
null 王心义,姚孟杰,张建国,等,2019.基于改进AHP法与模糊可变集理论的煤层底板突水危险性评价[J].采矿与安全工程学报,36(3):558-565.
null 吴贤国,王洪涛,何云,等,2018.基于模糊物元的岩溶隧道开挖稳定性评价[J].中国安全科学学报,28(1):99-104.
null 殷欣,刘泉声,王心语,等,2020.基于组合赋权和属性区间识别理论的岩爆烈度分级预测模型[J].煤炭学报,45(11):3772-3780.
null 张凯,2012.岩溶隧道围岩动态分级方法及应用研究——以叙大铁路岩溶隧道为例[D].成都:成都理工大学.
null 周坦,胡建华,匡也,等,2019.基于模糊RES-多维云模型的岩体质量评判方法与应用[J].中国有色金属学报,29(8):1771-1780.
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