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http://dx.doi.org/10.7843/kgs.2006.22.11.101

A Study on the Probabilistic Stability Analysis of Slopes  

Kim, Ki-Young (Korea Institute of Water and Environment)
Cho, Sung-Eun (Korea Institute of Water and Environment)
Publication Information
Journal of the Korean Geotechnical Society / v.22, no.11, 2006 , pp. 101-111 More about this Journal
Abstract
Slope stability analysis is a geotechnical engineering problem characterized by many sources of uncertainty. Some of them are connected to the variability of soil properties involved in the analysis. In this paper, a numerical procedure of probabilistic analysis of slope stability is presented based on Spencer's method of slices. The deterministic analysis is extended to a probabilistic approach that accounts fur the uncertainties and spatial variation of the soil parameters. The procedure is based on the first-order reliability method to compute the Hasofer-Lind reliability index and Monte-Carlo Simulation. A probabilistic stability assessment was performed to obtain the variation of failure probability with the variation of soil parameters in homogeneous and layered slopes as an example. The examples give insight into the application of uncertainty treatment to the slope stability and show the impact of the spatial variability of soil properties on the outcome of a probabilistic assessment.
Keywords
First-order reliability method; Monte-Carlo Simulation; Probabilistic analysis; Slope stability; Spatial variability;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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