Journal
COMPUTERS AND GEOTECHNICS
Volume 36, Issue 5, Pages 787-797Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2009.01.003
Keywords
Slope stability; Probabilistic analysis; Response surface; Artificial neural network
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Slope stability analysis is a geotechnical engineering problem characterized by many sources of uncertainty. Some of these sources are connected to the uncertainties of soil properties involved in the analysis. In this paper, a numerical procedure for integrating a commercial finite difference method into a probabilistic analysis of slope stability is presented. Given that the limit state function cannot be expressed in an explicit form, an artificial neural network (ANN)-based response surface is adopted to approximate the limit state function, thereby reducing the number of stability analysis calculations. A trained ANN model is used to calculate the probability of failure through the first- and second-order reliability methods and a Monte Carlo simulation technique. Probabilistic stability assessments for a hypothetical two-layer slope as well as for the Cannon Dam in Missouri, USA are performed to verify the application potential of the proposed method. (C) 2009 Elsevier Ltd. All rights reserved
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