首页|Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments

Efficient slope reliability analysis under soil spatial variability using maximum entropy distribution with fractional moments

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Spatial variability of soil properties imposes a challenge for practical analysis and design in geotechnical engineering.The latter is particularly true for slope stability assessment,where the effects of uncertainty are synthesized in the so-called probability of failure.This probability quantifies the reliability of a slope and its numerical calculation is usually quite involved from a numerical viewpoint.In view of this issue,this paper proposes an approach for failure probability assessment based on Latinized partially stratified sampling and maximum entropy distribution with fractional moments.The spatial variability of geotechnical properties is represented by means of random fields and the Karhunen-Loève expansion.Then,failure probabilities are estimated employing maximum entropy distribution with fractional mo-ments.The application of the proposed approach is examined with two examples:a case study of an undrained slope and a case study of a slope with cross-correlated random fields of strength parameters under a drained slope.The results show that the proposed approach has excellent accuracy and high efficiency,and it can be applied straightforwardly to similar geotechnical engineering problems.

SlopeRandom fieldReliability analysisMaximum entropy distributionLatinized partial stratified sampling

Chengxin Feng、Marcos A.Valdebenito、Marcin Chwa?a、Kang Liao、Matteo Broggi、Michael Beer

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Institute for Risk and Reliability,Leibniz University Hannover,Callinstr.34,Hannover,30167,Germany

Chair for Reliability Engineering,TU Dortmund University,Leonhard-Euler-Str.5,Dortmund,44227,Germany

Faculty of Civil Engineering,Wrocław University of Science and Technology,Wrocław,Poland

Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu,610031,China

University of Liverpool,Institute for Risk and Uncertainty,Peach Street,Liverpool,L69 7ZF,United Kingdom

International Joint Research Center for Resilient Infrastructure & International Joint Research Center for Engineering Reliability and Stochastic Mechanics,Tongji University,Shanghai,China

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China Scholarship Council(CSC)

2024

10.1016/j.jrmge.2023.09.006

岩石力学与岩土工程学报(英文版)
中国科学院武汉岩土力学所中国岩石力学与工程学会武汉大学

岩石力学与岩土工程学报(英文版)

CSTPCD
影响因子：0.404
ISSN：1674-7755
年,卷(期)：2024.16(4)
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