Extraction and imaging of indicator elements for non-destructive, in-situ, fast identification of adverse geology in tunnels

Fumin Liu,Peng Lin,Zhenhao Xu,Ruiqi Shao, Tao Han

INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY(2023)

引用 0|浏览0
暂无评分
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 indi-cator elements, thus reducing data dimensions and analysis time. A non-destructive, in-situ and fast ele-ment 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.(c) 2021 Published by Elsevier B.V. on behalf of China University of Mining & Technology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
更多
查看译文
关键词
Adverse geology identification,Indicator elements,Rock geochemistry,Tunnel engineering,Geological analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要