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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.5 P.645~652


Finite element reliability analysis of slope stability

Author(s):  Xiao-hui TAN, Jian-guo WANG

Affiliation(s):  School of Resource and Environmental Engineering, Hefei University of Technology, Hefei 230009, China; more

Corresponding email(s):   tantan9666@126.com

Key Words:  Slope stability, Finite element method, Reliability analysis, Limited step length iteration method (LSLIM), Accelerating convergence

Xiao-hui TAN, Jian-guo WANG. Finite element reliability analysis of slope stability[J]. Journal of Zhejiang University Science A, 2009, 10(5): 645~652.

@article{title="Finite element reliability analysis of slope stability",
author="Xiao-hui TAN, Jian-guo WANG",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%T Finite element reliability analysis of slope stability
%A Xiao-hui TAN
%A Jian-guo WANG
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%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820542

T1 - Finite element reliability analysis of slope stability
A1 - Xiao-hui TAN
A1 - Jian-guo WANG
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 5
SP - 645
EP - 652
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A0820542

The method of nonlinear finite element reliability analysis (FERA) of slope stability using the technique of slip surface stress analysis (SSA) is studied. The limit state function that can consider the direction of slip surface is given, and the formulations of FERA based on incremental tangent stiffness method and modified Aitken accelerating algorithm are developed. The limited step length iteration method (LSLIM) is adopted to calculate the reliability index. The nonlinear FERA code using the SSA technique is developed and the main flow chart is illustrated. Numerical examples are used to demonstrate the efficiency and robustness of this method. It is found that the accelerating convergence algorithm proposed in this study proves to be very efficient for it can reduce the iteration number greatly, and LSLIM is also efficient for it can assure the convergence of the iteration of the reliability index.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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