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Open-pit mine slopes stability analysis based on analytic hierarchy process-fuzzy comprehensive evaluation model

Authors :
Zhiguo LI
Tao XU
Yongjie LIU
Lichun ZHAO
Yongchao XU
Tianhong YANG
Xiaobin ZHENG
Source :
Zhongguo dizhi zaihai yu fangzhi xuebao, Vol 35, Iss 1, Pp 116-123 (2024)
Publication Year :
2024
Publisher :
Editorial Office of The Chinese Journal of Geological Hazard and Control, 2024.

Abstract

The bench slope within an open-pit coal mine plays an important supporting role for coal resource production and transportation. The stability evaluation of the slope is of great significance in guiding continuous mining operations within the mine. This study leverages monitoring data and geological surveys of the slope, employing the analytic hierarchy process (AHP) to assign weights to slope stability analysis factors. Additionally, it employs the principle of maximum membership degree, taking into account various parameters such as slope geometry, geological data, meteorological and hydrological information, and field monitoring data. This paper establishes an analytic hierarchy process - fuzzy comprehensive evaluation model for slope stability assessment. Subsequently, the model is applied to analyze the stability of the north slope at the Zhahanao’er open-pit coal mine. The research indicates that, accordingly to the established slope analytic hierarchy process - fuzzy comprehensive evaluation model, the northern slope is deemed to be fundamentally stable. The numerical simulated FOS (factor of safety) of 1.121 aligns remarkably well with model results. It is comprehensive and accurate since the model can fully consider the contribution of multiple information to the stability of slope.

Details

Language :
Chinese
ISSN :
10038035
Volume :
35
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Zhongguo dizhi zaihai yu fangzhi xuebao
Publication Type :
Academic Journal
Accession number :
edsdoj.999a3f7762ff40e08d580fa5ccde7bcb
Document Type :
article
Full Text :
https://doi.org/10.16031/j.cnki.issn.1003-8035.202207001