Exploring the stability of unsaturated soil slope under rainfall infiltration conditions: A study based on multivariate interrelated random fields using R-vine copula

被引:8
|
作者
Xu, Binni [1 ]
Pei, Xiangjun [1 ,2 ,4 ]
Li, Jingji [1 ,2 ,4 ]
Yang, Hailong [1 ]
Wang, Xinqing [1 ,3 ]
机构
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China
[2] Chengdu Univ Technol, Coll Ecol & Environm, Chengdu 610059, Peoples R China
[3] Sichuan Vocat & Tech Coll Commun, Dept Architecture & Civil Engn, Chengdu 611130, Peoples R China
[4] Chengdu Univ Technol, Coll Ecol & Environm, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China
关键词
R-vine copula; Cross-related random fields; Rainfall-induced soil slope instability; Safety factor; Probability of failure; RELIABILITY-ANALYSIS; GEOTECHNICAL RELIABILITY; ROCK MASS; PARAMETERS; VARIABILITY; FAILURE; IMPACT; CLAYS; MODEL;
D O I
10.1016/j.catena.2023.107587
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Estimating the instability of soil slopes due to rainfall in highly heterogeneous materials poses a considerable challenge. In this study, a general framework for coupled hydro-mechanical modeling of rainfall-induced instability in unsaturated slopes with multivariate random fields is developed. The R-vine copula is introduced to simulate the intricate non-Gaussian dependencies between soil parameters. UMAP is utilized for visualizing these dependencies. The study compares the fitting performances of R-vine and Gaussian copulas using LOWESS Regression. Subsequently, deterministic model computations are conducted in Abaqus, along with batch random field model analysis based on the R-vine copula. The instability probability of soil slopes under rainfall infiltration conditions is evaluated through direct Monte Carlo simulations, and statistically investigate the relationships between groundwater level, sliding volume, plastic zone volume, and safety factor. The findings indicate that: 1) The R-vine copula model proficiently captures the non-Gaussian dependencies in soil data, demonstrating superior fitting performance over the Gaussian copula; 2) deterministic simulations might overestimate the safety factor at certain instances; 3) as rainfall progresses, a growing negative correlation is observed between groundwater levels and slope instability; 4) continuous rainfall leads to a re-equilibration of the sliding mass, heightening the influence of the sliding volume on stability.
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页数:20
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