Study on Detection Technology for High-Speed Railway Slope Sliding Surface Based on Complex Observation of Electrical Resistivity Tomography

Slope landslide risk presents a critical challenge throughout high-speed railway construction and operation. Precise detection of sliding surfaces is essential for disaster prevention. This study develops an electrical detection method using complex electrode arrays, specifically addressing high-speed railway slope exploration constraints including confined spaces, significant investigation depths, and complex terrain. Numerical simulations analyzed the electric field distribution characteristics of power supply electrodes under various spatial constraints (half-space and full-space), revealing resolution differences between power supply combinations for target areas. Further comparative numerical modeling demonstrated that complex electrode arrays significantly enhance imaging quality over simple arrays in complex terrain. Finally, field validation confirmed the high reliability of complex observation systems for detecting slip surfaces along high-speed railway slopes. Therefore, under complex terrain conditions, utilizing complex observation systems to acquire multi-dimensional spatial data, integrated with topography-incorporated inversion technology, enables precise slip surface detection. This approach provides a reliable method for geological hazard mitigation in high-speed railway operations.

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Publication Details

Journal
Applied Sciences
Published
2025-08-18
DOI
https://doi.org/10.3390/app15169091
Citations
1
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.50

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article

Study on Detection Technology for High-Speed Railway Slope Sliding Surface Based on Complex Observation of Electrical Resistivity Tomography

Hongli Li, Feng Wang, Yansheng Liu, Jenny Tang et al.
1 citations
Applied Sciences
Smart Materials for Construction
0.50
article

Study on Detection Technology for High-Speed Railway Slope Sliding Surface Based on Complex Observation of Electrical Resistivity Tomography

Hongli Li, Feng Wang, Yansheng Liu, Jenny Tang, Xiaobo Jia, Guofu Wang
article en
1 citations

Abstract

Slope landslide risk presents a critical challenge throughout high-speed railway construction and operation. Precise detection of sliding surfaces is essential for disaster prevention. This study develops an electrical detection method using complex electrode arrays, specifically addressing high-speed railway slope exploration constraints including confined spaces, significant investigation depths, and complex terrain. Numerical simulations analyzed the electric field distribution characteristics of power supply electrodes under various spatial constraints (half-space and full-space), revealing resolution differences between power supply combinations for target areas. Further comparative numerical modeling demonstrated that complex electrode arrays significantly enhance imaging quality over simple arrays in complex terrain. Finally, field validation confirmed the high reliability of complex observation systems for detecting slip surfaces along high-speed railway slopes. Therefore, under complex terrain conditions, utilizing complex observation systems to acquire multi-dimensional spatial data, integrated with topography-incorporated inversion technology, enables precise slip surface detection. This approach provides a reliable method for geological hazard mitigation in high-speed railway operations.

Applied SciencesVol. 15(16)
Guangxi University of Science and Technology (CN), Pearl River Hydraulic Research Institute (CN)
National Key Research and Development Program of China, Guangxi Key Research and Development Program
Openalex Percentile: Top 36%
Smart Materials for Construction
0.50
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Study on Detection Technology for High-Speed Railway Slope Sliding Surface Based on Complex Observation of Electrical Resistivity Tomography — Hongli Li, Feng Wang, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS