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浅层地下空间电磁波CT联合成像与分析

Combined Imaging and Analysis of Electromagnetic Wave CT in Shallow Underground Space

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【作者】 吴荣新; 蒋作鹏; 郭立全; 欧元超;

【Author】 WU Rongxin;JIANG Zuopeng;GUO Liquan;OU Yuanchao;School of Earth and Environment,Anhui University of Science and Technology;

【机构】 安徽理工大学地球与环境学院;

【摘要】 在城市地下空间利用时常会遇到溶洞等异常体,为了准确探查到溶洞的位置及其在空间中的分布,通过有限元法进行正演模拟,采用联合迭代法进行反演计算。利用电磁波CT方法对呈方形布置的多钻孔进行现场探测、模拟与计算,获得三维电磁波CT反演成像结果。结果表明:利用多孔之间的透视电磁波CT方法可以获得孔间透视地质信息,通过多孔透视数据立体反演,显著提高对地质异常体的空间分辨率。现场探测结果表明介质的吸收系数分布特征明显,其大小分布与地质介质分层对应,可以有效判断异常体的准确位置,工程应用良好。电磁波CT联合成像可以更为精确地获得异常体的空间分布,文章研究结果可为工程应用提供指导。

【Abstract】 The anomalous cavities such as karst caves were often encountered in the use of urban underground space. In order to accurately detect the location of karst caves and their distribution in the space, the forward simulation with the finite element method and the inversion calculation with the joint iteration method were carried out, in which the electromagnetic wave CT method was used to conduct on-site detection, simulation and calculation of the multi-holes arranged in a square shape, and the three-dimensional electromagnetic wave CT inversion imaging were obtained. The results showed that the perspective geological information among the holes could be obtained with the method of perspective electromagnetic wave CT, of which the three-dimensional data inversion could significantly improve the spatial resolution of geological anomalies. The on-site detection results showed that the absorption coefficient of the medium had obvious distribution characteristics, and its size distribution corresponded to the layering of the geological medium, able to determine the accurate position of the abnormal cavities and effective in the engineering application. Therefore, the combined imaging of electromagnetic wave CT can obtain the spatial distribution of abnormal objects more accurately and the research results can provide guidance for engineering applications.

【基金】 安徽省经济和信息化厅基金资助项目(JB21144)
  • 【文献出处】 安徽理工大学学报(自然科学版) ,Journal of Anhui University of Science and Technology(Natural Science) , 编辑部邮箱 ,2022年01期
  • 【分类号】P631;U231.1
  • 【被引频次】1
  • 【下载频次】83
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