Water Science and Engineering 2009, 2(3) 78-86  DOI:   10.3882/j.issn.1674-2370.2009.03.008   ISSN: 1674-2370 CN: 32-1785/TV

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Keywords
reliability analysis
slope stability
sample weight coefficient
t-distribution
Bayes formula
Authors
Zhi-gang YANG
Tong-chun LI
Miao-lin DAI
PubMed
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Reliability analysis method for slope stability based on sample weight

Zhi-gang YANG*1, 2;Tong-chun LI1; Miao-lin DAI1

1. College of Water Conservancy and Hydropower Engineering, Hohai University,
Nanjing 210098, P. R. China
2. School of Civil Engineering and Architecture, Nanchang University, Nanchang 330031, P. R. China

Abstract

The single safety factor criteria for slope stability evaluation, derived from the rigid limit equilibrium method or finite element method (FEM), may not include some important information, especially for steep slopes with complex geological conditions. This paper presents a new reliability method that uses sample weight analysis. Based on the distribution characteristics of random variables, the minimal sample size of every random variable is extracted according to a small sample t-distribution under a certain expected value, and the weight coefficient of each extracted sample is considered to be its contribution to the random variables. Then, the weight coefficients of the random sample combinations are determined using the Bayes formula, and different sample combinations are taken as the input for slope stability analysis. According to one-to-one mapping between the input sample combination and the output safety coefficient, the reliability index of slope stability can be obtained with the multiplication principle. Slope stability analysis of the left bank of the Baihetan Project is used as an example, and the analysis results show that the present method is reasonable and practicable for the reliability analysis of steep slopes with complex geological conditions

Keywords reliability analysis   slope stability   sample weight coefficient   t-distribution   Bayes formula   
Received 2009-05-04 Revised 2009-07-13 Online: 2009-05-04 
DOI: 10.3882/j.issn.1674-2370.2009.03.008
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