Soil parameter identification using a genetic algorithm
Résumé
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 © 2007 John Wiley & Sons, Ltd.
Mots clés
Excavation
Genetic algorithms
Optimization
Piles
Pressure measurement
Retaining walls
Error function
Objective function
Soil parameter
Soils
Constitutive models
constitutive equation
Coulomb criterion
displacement
finite element method
genetic algorithm
geotechnical property
in situ measurement
inverse analysis
Mohr theory
pressuremeter
retaining wall
sheet piled wall
soil property
topology