Journal
SCIENTIA IRANICA
Volume 19, Issue 3, Pages 423-429Publisher
SHARIF UNIV TECHNOLOGY
DOI: 10.1016/j.scient.2012.04.006
Keywords
Reliability; Jointly distributed random variables method; Monte Carlo method; Point estimated method; First order second moment method; Infinite slope stability
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Slope stability analysis is a branch of geotechnical engineering that is highly amenable to probabilistic treatment. Probabilistic analysis of slope stability has received considerable attention in the literature, and has been used as an effective tool to evaluate uncertainty that is so prevalent in variables. In this research, the jointly distributed random variables method is used for probabilistic analysis and reliability assessment of the stability of infinite slopes without seepage. The selected stochastic parameters are internal friction angle, cohesion and unit weight, which are modeled using a truncated normal probability distribution function. The geometric parameters, such as height of slope and angle of slope relative to horizontal, are regarded as constant parameters. The results are compared with the Monte Carlo, Point Estimated, and First Order Second Moment methods. Comparison of the results indicates the superior performance of the proposed approach for assessment of reliability. (c) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
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