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Comparative approaches to probabilistic finite element methods for slope stability analysis

Dyson, AP and Tolooiyan, A ORCID: 0000-0001-8072-636X 2019 , 'Comparative approaches to probabilistic finite element methods for slope stability analysis' , Simulation Modelling Practice and Theory, vol. 100 , pp. 1-17 , doi: 10.1016/j.simpat.2019.102061.

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Probabilistic slope stability analyses are often preferable to deterministic methods when soils are inherently heterogeneous, or the reliability of geotechnical parameters is largely unknown. These methods are suitable for evaluating the risk of slope failure by producing a range of potential scenarios for the slope stability factor of safety. Several probabilistic methods including the Point Estimate Method, Monte Carlo Method and Random Finite Element Method, can be combined with the Finite Element technique. In this study, various shear strength distributions are considered for three different probabilistic Finite Element Methods to determine Factor of Safety and Probability of Failure distributions, based on the associated method of slope stability analysis. Results are presented for a case study of an Australian open-cut coal mine, with a range of shear strength parameter distributions for coal and interseam cohesive materials considered. Coal and interseam shear strength parameters are varied independently, to determine the effects of each material on the slope Factor of Safety.

Item Type: Article
Authors/Creators:Dyson, AP and Tolooiyan, A
Keywords: Random Finite Element Method, Monte Carlo simulation, point estimate method, spatial variation, slope stability analysis
Journal or Publication Title: Simulation Modelling Practice and Theory
Publisher: Elsevier Science Bv
ISSN: 1569-190X
DOI / ID Number: 10.1016/j.simpat.2019.102061
Copyright Information:

Copyright 2020 Elsevier Science B.V

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