- Title
- Comparative approaches to probabilistic finite element methods for slope stability analysis
- Creator
- Dyson, Ashley; Tolooiyan, Ali
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/172091
- Identifier
- vital:14412
- Identifier
-
https://doi.org/10.1016/j.simpat.2019.102061
- Identifier
- ISBN:1569-190X (ISSN)
- Abstract
- 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. © 2019 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Simulation Modelling Practice and Theory Vol. 100, no. (2020), p.
- Rights
- Copyright © 2019 Elsevier B.V. All rights reserved.
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0802 Computation Theory and Mathematics; 0913 Mechanical Engineering; Monte Carlo simulation; Point estimate method; Random Finite Element Method; Slope stability analysis; Spatial variation
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