基于TSP物探指标的围岩质量预测研究  被引量:1

Study on the Quality Prediction of Surrounding Rock Based on TSP Geophysical Index

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作  者:秦拥军[1,2] 谭顺利 谢良甫 刘学军[1,3] 高玉峰 QING Yongjun;TAN Shunli;XIE Liangfu;LIU Xuejun;GAO Yufeng(School of Civil Engineering and Architecture,Xinjiang University,Urumqi 830047,Xinjiang,China;Xinjiang Civil Engineering Technology Research Center,Urumqi 830047,Xinjiang,China;Xinjiang Building Research Institute Co.,Ltd.,Urumqi 830002,Xinjiang,China)

机构地区:[1]新疆大学建筑工程学院,新疆乌鲁木齐830047 [2]新疆土木工程技术研究中心,新疆乌鲁木齐830047 [3]新疆建筑科学研究院(有限责任公司),新疆乌鲁木齐830002

出  处:《水力发电》2021年第5期41-45,共5页Water Power

基  金:国家自然科学基金青年科学基金项目(51908482);新疆维吾尔自治区高校科研计划项目(XJEDU2018Y008);新疆维吾尔自治区重大科技专项课题(2018A03003-1);国家级创新训练计划项目(202010755097)。

摘  要:为利用TSP各物探指标预测隧道围岩质量,以G575线巴里坤~哈密公路东天山隧道为工程依托,利用灰色关联分析理论,建立了以岩体质量指标修正值作为围岩质量的依据,以9个物探指标为影响因素,采用MATLAB软件对隧道围岩质量的影响因素进行关联排序,确定影响围岩质量的主次因素;再选取高关联度的物探指标,采用灰色关联理论进行围岩质量预测。结果表明,波速、纵横波速比、泊松比、密度为影响隧道围岩稳定性的主控因素;剪切模量、拉梅系数、体积模量、动态杨氏模量、静态杨氏模量为次要因素;围岩质量预测采用波速、纵横波速比、泊松比、密度这4个高关联度的物探指标能准确预测隧道围岩分类。In order to use the TSP geophysical prospecting index to predict the quality of surrounding rock of tunnel,the East Tianshan Tunnel in the G575 Barkun-Hami Highway project is used as study example,and the gray relational analysis theory is used to establish the basis of surrounding rock quality with the revised value of rock mass quality index.Taking nine geophysical prospecting indexes as influencing factors,the MATLAB software is used to correlate and sort these influencing factors and determine the primary and secondary factors that affect the quality of surrounding rock.Then the high-relevance geophysical prospecting indexes are select to predict the quality of surrounding rock by gray relational theory.The results show that the wave speed,P/S wave speed ratio,Poisson's ratio and density are the main controlling factors affecting the stability of tunnel surrounding rock,and the shear modulus,Lame coefficient,bulk modulus,dynamic Young's modulus and static Young's modulus are secondary factors.The classification of surrounding rock can be accurately predicted by using the four high-relevance geophysical prospecting indexes.

关 键 词:围岩质量预测 TSP物探指标 岩体质量指标 灰色关联度 

分 类 号:U452.12[建筑科学—桥梁与隧道工程]

 

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