Research on the application of integrated investigation method in rocky slope sliding surface identification

Peizhao Chen; Bin Gan

doi:10.47297/taposatWSP2633-456903.20250605

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Research on the application of integrated investigation method in rocky slope sliding surface identification

6卷第5期

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Research on the application of integrated investigation method in rocky slope sliding surface identification
Research on the application of integrated investigation method in rocky slope sliding surface identification
Guangxi Water & Power Design Institute Co.,Ltd 530023
2025年6卷第5期页码：14-18
纸质出版日期：2025-05-19
DOI：10.47297/taposatWSP2633-456903.20250605
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(2025). Research on the application of integrated investigation method in rocky slope sliding surface identification. 科技理论与实践（英文版）, 6(5), 14-18.

Chen Peizhao,Gan Bin.Research on the application of integrated investigation method in rocky slope sliding surface identification[J].Theory and Practice of Science and Technology,2025,06(05):14-18.
(2025). Research on the application of integrated investigation method in rocky slope sliding surface identification. 科技理论与实践（英文版）, 6(5), 14-18. DOI： 10.47297/taposatWSP2633-456903.20250605.

Chen Peizhao,Gan Bin.Research on the application of integrated investigation method in rocky slope sliding surface identification[J].Theory and Practice of Science and Technology,2025,06(05):14-18. DOI： 10.47297/taposatWSP2633-456903.20250605.

摘要

Abstract

This paper reviews integrated methods for identifying sliding surfaces in rock slopes

essential for slope stability analysis. Traditional geological surveys often fail in complex conditions

while combining geological surveys

geophysics

remote sensing

and AI-based analysis enhances accuracy. Methods such as seismic refraction

GPR

LiDAR

and machine learning are discussed. A case study demonstrates improved precision using these integrated approaches. AI models

when combined with geological data

significantly enhance identification. Challenges like data quality and complexity are noted

and future research directions are suggested to improve these methods. This review highlights the potential of multi-technology integration for advancing slope stability analysis.I.

关键词

Keywords

references

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