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On-line Access: 2022-03-18

Received: 2021-03-31

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Wen-ping GONG


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Journal of Zhejiang University SCIENCE A 2022 Vol.23 No.3 P.208-224


A comparison study between 2D and 3D slope stability analyses considering spatial soil variability

Author(s):  Liang ZHANG, Wen-ping GONG, Xin-xin LI, Xiao-hui TAN, Chao ZHAO, Lei WANG

Affiliation(s):  Faculty of Engineering, China University of Geosciences, Wuhan 430074, China; more

Corresponding email(s):   wenpinggong@cug.edu.cn

Key Words:  Slope stability, Spatial variability, Probability of failure, Factor of safety, Longitudinal length

Liang ZHANG, Wen-ping GONG, Xin-xin LI, Xiao-hui TAN, Chao ZHAO, Lei WANG. A comparison study between 2D and 3D slope stability analyses considering spatial soil variability[J]. Journal of Zhejiang University Science A, 2022, 23(3): 208-224.

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publisher="Zhejiang University Press & Springer",

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%T A comparison study between 2D and 3D slope stability analyses considering spatial soil variability
%A Liang ZHANG
%A Wen-ping GONG
%A Xin-xin LI
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%A Chao ZHAO
%J Journal of Zhejiang University SCIENCE A
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2100139

T1 - A comparison study between 2D and 3D slope stability analyses considering spatial soil variability
A1 - Liang ZHANG
A1 - Wen-ping GONG
A1 - Xin-xin LI
A1 - Xiao-hui TAN
A1 - Chao ZHAO
A1 - Lei WANG
J0 - Journal of Zhejiang University Science A
VL - 23
IS - 3
SP - 208
EP - 224
%@ 1673-565X
Y1 - 2022
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A2100139

In engineering practice, the stability of a slope is often analyzed as a 2D problem assuming a plane-strain condition, which may lead to significant errors. In this paper, a comprehensive study is carried out to compare the results of 2D and 3D slope stability analyses, using the strength reduction method for deterministic analysis and the random field approach for probabilistic analysis, respectively. The results of this comparison study confirm that in the deterministic stability evaluation, the 2D analysis tends to obtain a smaller factor of safety than does its 3D counterpart. In the probabilistic evaluation that considers the spatial variability of soil properties, the 2D analysis tends to yield a larger probability of failure than its 3D counterpart. A significant feature of the 3D probabilistic slope stability analysis is the presence of multiple local failures distributed along the slope longitudinal direction. This paper provides insights regarding the degree of errors in modeling a 3D slope as a 2D problem, which can be regarded as a complement to the previous 3D slope stability analyses.




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