A comprehensive analysis method for adverse geology in tunnels based on geological information and multi-source geophysical data

Advanced geological prediction is a crucial means to ensure safety and efficiency in tunnel construction. However, different advanced geological forecasting methods have their own limitations, resulting in poor detection accuracy. Using multiple methods to carry out a comprehensive evaluation can ef...

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Bibliographic Details
Published in:Applied geophysics Vol. 22; no. 1; pp. 43 - 52
Main Authors: Wang, Peng, Zhang, Shi-shu, Chen, Wei-dong, Xue, Yi-guo, Qu, Zi-ming, Xiao, Hua-bo, Su, Mao-xin, Zhang, Kai
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025
Springer Nature B.V
Subjects:
Accuracy
Algorithms
Construction
Data integration
Earth and Environmental Science
Earth Sciences
Geology
Geophysical data
Geophysical exploration
Geophysical methods
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Induced polarization
Physical properties
Predictions
Tunnel construction
Tunnels
Advanced geological prediction
Comprehensive analysis
Tunnel seismic prediction
Geological information
Transient electromagnetic
Induced polarization
ISSN:1672-7975, 1993-0658
Online Access:Get full text
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Summary:Advanced geological prediction is a crucial means to ensure safety and efficiency in tunnel construction. However, different advanced geological forecasting methods have their own limitations, resulting in poor detection accuracy. Using multiple methods to carry out a comprehensive evaluation can effectively improve the accuracy of advanced geological prediction results. In this study, geological information is combined with the detection results of geophysical methods, including transient electromagnetic, induced polarization, and tunnel seismic prediction, to establish a comprehensive analysis method of adverse geology. First, the possible main adverse geological problems are determined according to the geological information. Subsequently, various physical parameters of the rock mass in front of the tunnel face can then be derived on the basis of multisource geophysical data. Finally, based on the analysis results of geological information, the multisource data fusion algorithm is used to determine the type, location, and scale of adverse geology. The advanced geological prediction results that can provide effective guidance for tunnel construction can then be obtained.
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ISSN:1672-7975
1993-0658
DOI:10.1007/s11770-025-1174-3