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Soil parameter identification using a genetic algorithm
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DOI：10.1002/nag.614.png)
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Abstract
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This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from in situ geotechnical measurements. A pressuremeter curve and the horizontal displacements of a sheet pile wall retaining an excavation are successively used as measurements. Two kinds of optimization algorithms are used to minimize the error function, the first one based on a gradient method and the second one based on a genetic algorithm. The efficiency of each algorithm related to the error function topology is discussed. Finally, it is shown that the use of a genetic algorithm to identify the soil parameters seems particularly suitable when the topology of the error function is complex. Copyright (c) 2007 John Wiley & Sons, Ltd.
Keywords:
parameter identification
inverse analysis
genetic algorithms
objective function
finite element method
pressuremeter test
excavation
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Estimation of parameters in geotechnical backanalysis .2. Application to a tunnel excavation problem
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