Inverse analysis of in-situ geotechnical measurements using a genetic algorithm
Résumé
This paper is dedicated to the identification of constitutive parameters of the Mohr-Coulomb constitutive model from the horizontal displacements of a sheet pile wall. Two kinds of optimization algorithms are presented to minimize the error function, the first one based on a gradient method and the other 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 genetic algorithms to identify the soil parameters seems particularly interesting when the topology of the error function is complex. © 2004 Taylor & Francis Group plc, London, UK. All rights reserved.
Mots clés
Algorithms
Errors
Genetic algorithms
Geomechanics
Gradient methods
Inverse problems
Numerical models
Optimization
Piles
Topology
Constitutive parameters
Error function
Horizontal displacements
Inverse analysis
Optimization algorithms
Sheet pile wall
Situ geotechnical measurements
Soil parameters
Parameter estimation