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Slope risk assessment using efficient random finite element method
Journal article   Peer reviewed

Slope risk assessment using efficient random finite element method

Li Dian-qing, Xiao Te, Cao Zi-jun, Zhou Chuang-bing, Phoon Kok-kwang and Kok Kwang Phoon
Yan tu li xue, Vol.37(7), pp.1994-2003
01/07/2016

Abstract

Engineering Engineering, Geological Science & Technology Technology
This paper develops an efficient random finite element method (RFEM) using subset simulation (SS) for slope risk assessment. Equations are derived for integrating SS with RFEM to evaluate slope failure probability and risk, and corresponding implementation procedures are illustrated. The proposed method is validated by using a soil slope example. The results indicate that the efficient RFEM based on SS can be viewed as a development of the original RFEM based on Monte Carlo simulation, and it significantly improves the computational efficiency of evaluating failure probability and risk as well as the ability to generate failure samples, particularly at small probability levels, which enhances the applications of RFEM to the slope reliability analysis and risk assessment. The proposed efficient RFEM expresses the overall slope failure risk as a weighted aggregation of slope failure risk at different probability levels and quantifies the relative contributions of those to the overall risk. In this method, slope

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