Comprehensive Disease Identification and 3D Geological Modeling of Rock Mass Based on Elastic Wave CT and GPR
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摘要: 本文以地铁深基坑岩体边坡为研究对象，采用弹性波CT初步判断基坑岩体病害的类型及空间分布并辅以地质雷达进行验证；进而用分水岭算法分析弹性波CT获得的波速分布，以提取病害处的细部声速变化，圈定病害范围；在此基础上，以弹性波CT三维空间波速数据库的坐标信息为基础，结合分水岭算法得到的空间坐标信息获得建模数据库，导入GOCAD软件，经过处理分析建立三维地质可视化模型。本文所建立的岩体病害模型与地质钻孔、窥孔成像、现场观察等高度吻合。本文提出的岩体病害识别方法和建模技术可为岩体支护设计提供重要参考，可为城市地下工程水害防治提供地质依据。Abstract: Taking the rock slope of the subway deep foundation pit as the research object, elastic wave CT is used to preliminarily judge the type and spatial distribution of rock mass diseases in foundation pit, which is then verified by geological radar. Furtherly the a watershed algorithm is adopted to analyze the wave velocity distribution obtained by elastic wave CT in order to extract the detailed sound velocity change at the rock cave and delineate its range. On this basis, based on the coordinate information of elastic wave CT three-dimensional spatial wave velocity database, combined with the spatial coordinate information obtained by watershed algorithm, the modeling database is constructed, after imported into GOCAD software, the three-dimensional geological visualization model is established after processing and analysis. The rock mass disease model established in this paper is highly consistent with geological drilling, peephole imaging and field observation. The proposed rock disease identification method and modeling technology can not only provide an important reference for rock mass support but also provide a basis for water disaster prevention of urban underground engineering.
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表 1 岩体病害三维空间位置
Table 1. 3D spatial location of rock mass diseases
序号 X/m Y/m 深度/m R1 7.6～10 13～15 6.8～8.5 R2 7.8～10 6～8 10.8～11.2 R3 8～10 21～23 7～9 R4 9～10 18～22 14.3～15.5 R5 8～10 23～26 22～24 F1(A)
F1(B)2.4 11 10 2.4 9 15 
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