Probabilistic stability analysis of rainfall-induced landslides considering spatial variability of permeability

被引:148
作者
Cho, Sung Eun [1 ]
机构
[1] Hankyong Natl Univ, Dept Civil Safety & Environm Engn, Anseong 456749, Gyeonggi Do, South Korea
基金
新加坡国家研究基金会;
关键词
Rainfall infiltration; Monte Carlo simulation; Probability; Random field; Infinite slope; Hydraulic conductivity; UNSATURATED SOIL SLOPES; CONDUCTIVITY; FAILURE; SUCTION;
D O I
10.1016/j.enggeo.2013.12.015
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Many regions around the world are vulnerable to rainfall-induced landslides. A variety of methods have been proposed for revealing the mechanism of landslide initiation. Current analysis methods, however, do not consider the effects of non-homogeneous soil profiles and variable hydraulic responses on rainfall-induced slope failures. In Korea, where the depth of weathering is very shallow, many slope failures occur in the layer of weathered residual soil that overlays the bedrock. These failures are characterized by shallow failure surfaces located near the interface between the weathered soil and the underlying bedrock. In this study, probabilistic stability analyses were conducted for a weathered residual soil slope with shallow impermeable bedrock to study the failure mechanism of rainfall-related landslides. A series of seepage and stability analyses of an infinite slope based on one-dimensional random fields were performed to study the effects of uncertainty due to the spatial heterogeneity of hydraulic conductivity on the failure of unsaturated slopes due to rainfall infiltration. The results showed that a probabilistic framework can be used to efficiently consider various failure patterns caused by spatial variability of hydraulic conductivity in rainfall infiltration assessment for a shallow infinite slope. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:11 / 20
页数:10
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