Probabilistic reliability analysis of multiple slopes with genetic algorithms

Tun, Ye W., Pedroso, Dorival M., Scheuermann, Alexander and Williams, David J. (2016) Probabilistic reliability analysis of multiple slopes with genetic algorithms. Computers and Geotechnics, 77 68-76. doi:10.1016/j.compgeo.2016.04.006

Author Tun, Ye W.
Pedroso, Dorival M.
Scheuermann, Alexander
Williams, David J.
Title Probabilistic reliability analysis of multiple slopes with genetic algorithms
Journal name Computers and Geotechnics   Check publisher's open access policy
ISSN 1873-7633
Publication date 2016-07-01
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.compgeo.2016.04.006
Open Access Status Not Open Access
Volume 77
Start page 68
End page 76
Total pages 9
Place of publication Kidlington, Oxford United Kingdom
Publisher Pergamon Press
Collection year 2017
Language eng
Abstract Uncertainty estimation and consideration in engineering is an important practice to design reliable structures especially in geotechnics since the level of control with regards to the material parameters is relatively low. The definition of reliability indices to approximate the probability of failure allows for a better assessment of stability with fewer computations than using alternative methods. Nonetheless, yet an optimisation problem needs to be solved. In this work, a genetic algorithm is developed to solve this optimisation problem considering the limit equilibrium method to search for multiple critical failures. Study cases are presented to illustrate the capabilities of the method.
Keyword Multiple slopes stability
Stochastic analysis
Probability of failure
Optimisation problems
Genetic algorithms
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
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