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浅层岩溶和采空区综合探测方法与模型试验
引用本文:王洪云,王成坤,邢兰景,殷鑫,陈安东,耿轶君.浅层岩溶和采空区综合探测方法与模型试验[J].重庆大学学报(自然科学版),2023,46(2):107-118.
作者姓名:王洪云  王成坤  邢兰景  殷鑫  陈安东  耿轶君
作者单位:山东省交通工程监理咨询有限公司, 济南 250020;山东大学 岩土与结构工程研究中心, 济南 250061;山东滨莱高速公路有限公司, 山东 淄博 255213;黄河勘测规划设计研究院有限公司, 郑州 450003
基金项目:山东省交通科技项目(2016B20);山东省自然科学基金青年基金项目(ZR2019QEE025);山东省自然科学基金博士基金项目(ZR2019BEE016)。
摘    要:岩溶和采空区已经成为高速公路建设中面临的热点、难点问题。为了准确探测高速公路地基下伏岩层中岩溶和采空区的几何形态和空间分布,提出了地质雷达先验信息的高密度电阻率约束反演方法。采用常规高密度电阻率反演方法、地质雷达和携带先验信息的高密度电阻率约束反演方法,对常见的岩溶和采空区地电模型进行数值模拟,分析岩溶和采空区不同方法的成像规律。结果表明,与常规高密度电阻率反演和地质雷达正演结果相比,携带先验信息约束的高密度电阻率法反演的异常体的空间形态更接近于真实地电模型,对边界的识别更加准确。随后,通过对山东章丘地区岩溶和采空区的模型试验,探明了岩溶和采空区的分布情况,验证了该综合预报方法对岩溶和采空区的探测效果,为高速公路地基下岩溶和采空区的治理方案提供了依据。

关 键 词:岩溶  采空区  约束反演  数值模拟  地质雷达  高密度电法  模型试验
收稿时间:2022/8/2 0:00:00

Comprehensive geophysical method for shallow karst and goaf and its model test
WANG Hongyun,WANG Chengkun,XING Lanjing,YIN Xin,CHEN Andong,GENG Yijun.Comprehensive geophysical method for shallow karst and goaf and its model test[J].Journal of Chongqing University(Natural Science Edition),2023,46(2):107-118.
Authors:WANG Hongyun  WANG Chengkun  XING Lanjing  YIN Xin  CHEN Andong  GENG Yijun
Institution:Shandong Traffic Engineering Supervision Consulting Co., Ltd.,Jinan 250020, P. R. China;Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, P. R. China;Shandong Bin-lai Highway Co., Ltd, Zibo, Shandong 255213, P. R. China; Yellow River Survey, Planning and Design Institute Co., Ltd., Zhengzhou 450003, P. R. China
Abstract:Karst and goaf have become a hot and challenging problem in expressway construction. To accurately detect the spatial distribution and geometrical form of the karst and goaf zones under the highway, an electrical resistivity constraint inversion imaging method by using prior information obtained by the ground penetrating radar method (GPR) was employed. The conventional ERT inversion method, the GPR, and the ERT constraint inversion imaging method with prior information were used to numerically simulate common karst and mined-out geoelectrical models. Then the imaging laws of various methods in different types of karst and goaf were analyzed and summarized. Numerical simulation results show that, compared with conventional ERT inversion and GPR results, the spatial morphology of anomalous bodies using the ERT constraint inversion imaging method is closer to the real geoelectric model. It can more accurately identify the boundary. Subsequently, a model test study of karst and goaf was carried out in Zhangqiu, Shandong, and the distribution of karst and goaf zones was successfully ascertained, verifying the detection effect of the comprehensive detection method on karst and goaf areas. The proposed method provides a basis for the treatment plan of the karst and goaf under the highway foundation.
Keywords:karst  goaf  constrained inversion  numerical modeling  ground penetrating radar  electrical resistivity tomography  model test
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