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

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

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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.

Adverse geology identificationIndicator elementsRock geochemistryTunnel engineeringGeological analysis

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

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School of Qilu Transportation,Shandong University,Jinan 250061,China

Geotechnical and Structural Engineering Research Center,Shandong University,Jinan 250061,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Shandong Province,ChinaNatural Science Foundation of Shandong Province,China

5202205352279103ZR201910270116ZR2023YQ049

2023

10.1016/j.ijmst.2023.10.006

矿业科学技术学报(英文版)
中国矿业大学

矿业科学技术学报(英文版)

CSTPCDCSCDEI
影响因子：1.222
ISSN：2095-2686
年,卷(期)：2023.33(12)
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