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基于岩溶发育地质模型的隧道地质预测
引用本文:谭信荣,陈寿根,王磊,马辉.基于岩溶发育地质模型的隧道地质预测[J].地下空间与工程学报,2015,11(6):1641-1648.
作者姓名:谭信荣  陈寿根  王磊  马辉
作者单位:1.中铁二院工程集团有限责任公司,成都 610031 2.西南交通大学 交通隧道工程教育部 重点实验室,成都 610031 3.中铁二局集团公司,成都 610032
基金项目:中央高校基本科研业务专项基金(SWJTU11ZT33);教育部创新团队发展计划(IRT0955)
摘    要:为更加系统全面预测和了解可能在隧道施工中遇到岩溶,根据岩溶发育规律和特点,建立了岩溶在水平岩层、倾斜岩层、背斜岩层、向斜岩层地质构造条件下不同节理发育程度和不同位置隔水层情况下的岩溶发育地质模型,根据隧道工程所处的地质环境,利用地质模型判断未开挖岩层中的岩溶发育类型、规模等情况,并结合物探和超前钻探等方法实现隧道未开挖段岩溶的超前预报。实际揭露岩溶情况与预测结果对比表明,岩溶发育地质模型可以从宏观上比较准确地预测隧道未开挖段的岩溶发育情况。

关 键 词:岩溶  超前地质预报  岩溶发育地质模型  隧道工程  
收稿时间:2015-02-11

Geological Prediction Research in Tunnel Engineering Based onKarst Geological Model
Tan Xinrong,Chen Shougen,Wang Lei,Ma Hui.Geological Prediction Research in Tunnel Engineering Based onKarst Geological Model[J].Chinese Journal of Underground Space and Engineering,2015,11(6):1641-1648.
Authors:Tan Xinrong  Chen Shougen  Wang Lei  Ma Hui
Affiliation:1.China Railway Eryuan Engineering Group Co. Ltd, Chengdu 610031, P.R.China 2.Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China 3.China Railway No.2 Engineering Group Co. Ltd., Chengdu 610032, China
Abstract:To forecast and understand Karst that may be encountered in tunnel construction more systematically and more comprehensively, in this paper, based on the rules and characteristics of karst development in the horizontal rock, inclined rock, anticline rock and syncline rock, the Karst geological models in different relationship of water-resisting layers and joint development extent are established. According to the geological conditions of the tunnel project, geological models are used to estimate the type and size of karst in un-excavated section of rock in tunneling. Then, combined with geological prediction methods such as geophysical prospecting and drilling ahead method, details of Karst can be predicted. Comparison of the actual karst circumstances and the forecast results showed that by the karst geological model, a more accurate judgment of karst development in unexcavated section of the tunnel in a macro level could be made.
Keywords:karst  advanced geological prediction  karst development geological model  tunnel engineering  
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