Probabilistic reliability analysis of multiple slopes with genetic algorithms

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 failu...

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Bibliographic Details
Published in:Computers and geotechnics 2016-07, Vol.77, p.68-76
Main Authors: Tun, Ye W., Pedroso, Dorival M., Scheuermann, Alexander, Williams, David J.
Format: Article
Language:English
Subjects:
Assessments
Design analysis
Failure
FORM
Genetic algorithms
Geotechnics
Multiple slopes stability
Optimisation problems
Optimization
Probability of failure
Searching
Slopes
Stochastic analysis
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Summary: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.
ISSN:0266-352X
1873-7633
DOI:10.1016/j.compgeo.2016.04.006