RESEARCH PAPER
An efficient method for calculating system reliability of soil slope with general shape slip surface
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1
College of Civil and Hydraulic Engineering, Hefei University of Technology, China
2
School of Civil Engineering and Architecture, Ningbo Tech University, China
3
Anhui Key Laboratory of Civil Engineering Structures and Materials, China
Submission date: 2024-05-05
Final revision date: 2024-06-07
Acceptance date: 2024-08-11
Online publication date: 2024-08-29
Publication date: 2024-08-29
Corresponding author
Juxiang Chen
College of Civil and Hydraulic Engineering, Hefei University of Technology, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192234
HIGHLIGHTS
- An efficient system reliability calculation method is proposed for soil slopes with general slip surfaces.
- The performance function uses the critical horizontal seismic acceleration coefficient expression to replace the traditional safety factor expression.
- This method can quickly identify the main representative slip surfaces and effectively calculate the reliability of the slope system with only a small amount of calculation.
KEYWORDS
TOPICS
ABSTRACT
Reliability analysis of slope stability is essentially a system reliability problem. The traditional reliability calculation method of slope system based on limit equilibrium adopts the safety factor expression as the performance function. The safety factor needs to be solved iteratively, so it is difficult to balance the calculation accuracy and efficiency. Moreover, it is generally assumed that the sliding surface is circular, which is inconsistent with the actual situation. Based on the rigorous limit equilibrium method by modifying normal stress over slip surface, the performance function expressed by critical horizontal acceleration coefficient Kc is established. A slope system reliability calculation method coupling Rosenblueth sampling point method, global critical sliding field method and sequential combination method is proposed. The accuracy and high efficiency of the proposed method are verified by two slope examples. This method can be used as a powerful tool for rapid assessment of slope stability reliability in practical engineering.
ACKNOWLEDGEMENTS
This work was supported by the National Natural Science Foundation of China [Grant No.52079121] and the Innovation an Entrepreneurship Training Program for College Students of Hefei University of Technology (X202410359244, S202410359131, S202410359152).
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