Automatic calibration of soil–water characteristic curves using genetic algorithms

Pedroso, Dorival M. and Williams, David J. (2011) Automatic calibration of soil–water characteristic curves using genetic algorithms. Computers and Geotechnics, 38 3: 330-340. doi:10.1016/j.compgeo.2010.12.004

Author Pedroso, Dorival M.
Williams, David J.
Title Automatic calibration of soil–water characteristic curves using genetic algorithms
Journal name Computers and Geotechnics   Check publisher's open access policy
ISSN 0266-352X
Publication date 2011-04-01
Sub-type Article (original research)
DOI 10.1016/j.compgeo.2010.12.004
Volume 38
Issue 3
Start page 330
End page 340
Total pages 11
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Abstract An automatic technique for the determination of the coefficients of models for soil-water characteristic curves (SWCC) or water retention curves (WRC) is presented. The technique is based on optimisation using genetic algorithms, in which the error between predictions and experimental data is minimised by varying the model parameters. The method is powerful and reasonably efficient in finding the best parameters. Four models are analysed including one accounting for hysteresis behaviour. Details of a simple genetic algorithm (SGA) and its complete application are explained. To account for the hysteresis of the SWCC, the models are programmed in a rate form, in which numerical integration is employed to advance the state variables. One advantage of the optimisation presented is that the best curves averaging both the drying and wetting paths are obtained when hysteresis is present.
Keyword Soil–water characteristic curves
Water retention curves
Genetic algorithms
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
Official 2012 Collection
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 14 times in Scopus Article | Citations
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Created: Wed, 19 Oct 2011, 09:33:55 EST by Dr Dorival Pedroso on behalf of School of Civil Engineering