Probabilistic slope stability analysis considering the non-stationary and spatially variable permeability under rainfall infiltration-redistribution

IF 3.7 2区工程技术 Q3 ENGINEERING, ENVIRONMENTAL Bulletin of Engineering Geology and the Environment Pub Date : 2023-08-12 DOI:10.1007/s10064-023-03351-9

Xueyou Li, Xian Liu, Yadong Liu, Zhiyong Yang, Limin Zhang

{"title":"Probabilistic slope stability analysis considering the non-stationary and spatially variable permeability under rainfall infiltration-redistribution","authors":"Xueyou Li, Xian Liu, Yadong Liu, Zhiyong Yang, Limin Zhang","doi":"10.1007/s10064-023-03351-9","DOIUrl":null,"url":null,"abstract":"<div>The non-stationary and spatially variable permeability ks can have a significant influence on the process of rainwater infiltration and redistribution in a soil slope and further affect the slope stability and the slope failure time after a rain event. However, there has been limited research on the influence of non-stationary and spatially variable ks on the stability and the failure time of soil slopes. This paper aims to investigate how the non-stationary and spatially variable ks affects the soil slope stability and the most probable failure time (MPFT) of the slope considering the rainwater infiltration and redistribution. To achieve this purpose, an integrated probabilistic analysis framework is proposed by coupling the non-stationary ks random field into a slope model for the probabilistic slope seepage analysis based on Monte Carlo simulations. An unsaturated soil slope subjected to rainfall is taken as an illustrative example to demonstrate the influence of non-stationary and spatially variable ks on the slope stability. The results show that the location of the slip surface with minimum factor of safety continuously changes during the process of the rainwater infiltration-redistribution. Ignoring the effect of decreasing trend of ks will result in an underestimation of the failure probability of slope even if the spatial variability of ks is considered. The MPFT of slope will be earlier if the non-stationary characteristics of ks is considered.</div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"82 9","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Engineering Geology and the Environment","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10064-023-03351-9","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}

引用次数: 0

Abstract

The non-stationary and spatially variable permeability k_s can have a significant influence on the process of rainwater infiltration and redistribution in a soil slope and further affect the slope stability and the slope failure time after a rain event. However, there has been limited research on the influence of non-stationary and spatially variable k_s on the stability and the failure time of soil slopes. This paper aims to investigate how the non-stationary and spatially variable k_s affects the soil slope stability and the most probable failure time (MPFT) of the slope considering the rainwater infiltration and redistribution. To achieve this purpose, an integrated probabilistic analysis framework is proposed by coupling the non-stationary k_s random field into a slope model for the probabilistic slope seepage analysis based on Monte Carlo simulations. An unsaturated soil slope subjected to rainfall is taken as an illustrative example to demonstrate the influence of non-stationary and spatially variable k_s on the slope stability. The results show that the location of the slip surface with minimum factor of safety continuously changes during the process of the rainwater infiltration-redistribution. Ignoring the effect of decreasing trend of k_s will result in an underestimation of the failure probability of slope even if the spatial variability of k_s is considered. The MPFT of slope will be earlier if the non-stationary characteristics of k_s is considered.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

降雨入渗-再分布下考虑非平稳和空间可变渗透率的概率边坡稳定性分析

非平稳和空间可变的渗透性ks对雨水在土质边坡中的入渗和再分配过程有显著影响，进而影响边坡的稳定性和雨后边坡的破坏时间。然而，非平稳和空间可变的ks对土质边坡稳定性和破坏时间的影响研究有限。本文旨在研究考虑雨水入渗和再分布的非平稳和空间变量k对土质边坡稳定性和最可能破坏时间(MPFT)的影响。为此，提出了将非平稳ks随机场耦合到边坡模型中的综合概率分析框架，用于基于蒙特卡罗模拟的概率边坡渗流分析。以降雨作用下非饱和土边坡为例，论证了非平稳和空间可变k对边坡稳定性的影响。结果表明:在雨水入渗再分配过程中，安全系数最小的滑面位置不断变化;忽略ks减小趋势的影响，即使考虑ks的空间变异性，也会导致对边坡破坏概率的低估。如果考虑ks的非平稳特性，则斜率的MPFT会提前。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Bulletin of Engineering Geology and the Environment 工程技术-地球科学综合

CiteScore

7.10

自引率

11.90%

发文量

445

审稿时长

4.1 months

期刊介绍： Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces: • the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations; • the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change; • the assessment of the mechanical and hydrological behaviour of soil and rock masses; • the prediction of changes to the above properties with time; • the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.