CLC number: P642.22
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-10-19
Cited: 0
Clicked: 5068
Citations: Bibtex RefMan EndNote GB/T7714
Chuan-xiang Qu, Gang Wang, Ke-wei Feng, Zhen-dong Xia. Large deformation analysis of slope failure using material point method with cross-correlated random fields[J]. Journal of Zhejiang University Science A, 2021, 22(11): 856-869.
@article{title="Large deformation analysis of slope failure using material point method with cross-correlated random fields",
author="Chuan-xiang Qu, Gang Wang, Ke-wei Feng, Zhen-dong Xia",
journal="Journal of Zhejiang University Science A",
volume="22",
number="11",
pages="856-869",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2100196"
}
%0 Journal Article
%T Large deformation analysis of slope failure using material point method with cross-correlated random fields
%A Chuan-xiang Qu
%A Gang Wang
%A Ke-wei Feng
%A Zhen-dong Xia
%J Journal of Zhejiang University SCIENCE A
%V 22
%N 11
%P 856-869
%@ 1673-565X
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2100196
TY - JOUR
T1 - Large deformation analysis of slope failure using material point method with cross-correlated random fields
A1 - Chuan-xiang Qu
A1 - Gang Wang
A1 - Ke-wei Feng
A1 - Zhen-dong Xia
J0 - Journal of Zhejiang University Science A
VL - 22
IS - 11
SP - 856
EP - 869
%@ 1673-565X
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2100196
Abstract: large deformation analysis of slope failure is important for hazard and risk assessment of infrastructure. Recent studies have revealed that spatial variability of soil properties can significantly affect the probability of slope failure. However, due to limitations of traditional numerical tools, the influence of spatial variability of soil properties on the post-failure behavior of slopes has not been fully understood. Therefore, in this study, we aimed to investigate the effects of the cross-correlation between cohesion and the friction angle on the probability of slope failure and post-failure behavior (e.g. run-out distance, influence distance, and influence zone) using a random material point method (RMPM). The study showed that mesh size, strength reduction shape factor parameter, and residual strength all play critical roles in the calculated post-failure behavior of a slope. Based on stochastic Monte Carlo simulation, the effects of cross-correlation between cohesion and the friction angle on the probability of slope failure, and its run-out distance, influence distance, influence zone, and sliding volume were studied. The study also showed that material point method (MPM) has great advantages compared with the finite element method (FEM) in handling large deformations.
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