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Use of a genetic algorithm to perform reliability analysis of unsaturated soil slopes
Author(s)
Date Issued
2009-08
Date Available
2011-08-26T13:43:42Z
Abstract
Rainfall induced landslides are a major cause of disturbance to transport networks in many parts of the world. In slopes where the water table is some depth below the ground surface, negative pore water pressure (suctions) develop in the near surface soils which contribute significantly to their overall stability. However, these suctions are transient and reduce as water percolates into the slope (and a wetting front develops) during periods of heavy or prolonged rainfall.
In this paper the development of a model for determining the reliability of a slope in which the soil properties are considered as random variables is presented. By transforming the variables into polar coordinates the complexities associated with defining the limit state function, which have affected many previous attempts at probabilistic analysis of slopes, can be overcome. The minimisation problem is solved in a powerful and efficient Genetic Algorithm environment.
Sponsorship
Other funder
Other Sponsorship
Iarnród Éireann
Type of Material
Journal Article
Publisher
Institution of Civil Engineers
Journal
Géotechnique
Volume
59
Issue
6
Start Page
545
End Page
549
Copyright (Published Version)
2009 Thomas Telford Publishing Ltd.
Subject – LCSH
Slopes (Soil mechanics)--Stability
Soil mechanics
Genetic algorithms
Web versions
Language
English
Status of Item
Peer reviewed
ISSN
0016-8505
This item is made available under a Creative Commons License
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Use of a genetic algorithm to perform reliability analysis of unsaturated.pdf
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