地质学
鉴定(生物学)
区域地质
环境地质学
工程地质
萃取(化学)
领域(数学)
采矿工程
遥感
水文地质学
岩土工程
地震学
变质岩石学
末端学
纯数学
化学
生物
构造学
植物
色谱法
数学
火山作用
作者
Fumin Liu,Peng Lin,Zhenhao Xu,Ruiqi Shao,Tong Han
标识
DOI:10.1016/j.ijmst.2023.10.006
摘要
The lag in quantitative methods and detection techniques for geologic information has resulted in time-consuming and human-experienced geologic analysis in tunnels. Geochemical indicators of rocks can be used to identify adverse geology and to explain the intrinsic causes of damage to normal rocks. This study proposes a method to identify adverse geology by extracting and imaging the indicator elements. The mapping relationship between rock components and geologic bodies is quickly determined by indicator element extraction based on factor analysis, and then the data are gridded for image output. The location and size of the target adverse geology are visually identified through the distribution images of the indicator elements, thus reducing data dimensions and analysis time. A non-destructive, in-situ and fast element detection technique in tunnels was adopted to speed up the process of geology identification. The accuracy of the detection was validated by comparing field and laboratory test results. This study further confirms and refines the previous research, and the results provide references for geological, mining and underground projects.
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