Soil parameter identification from in situ measurements using a genetic algorithm and a principle component analysis
Résumé
This paper is dedicated to the parameter identification of the Mohr-Coulomb constitutive model from horizontal displacements of a sheet pile wall. An optimization method based on a genetic algorithm is proposed. This robust optimization method localizes quickly a set of solutions close to the optimum values. Then, the identified set is described by a principal component analysis. This new inverse analysis method based on a genetic algorithm and a principle component analysis permits to define an ellipsoid set of solutions which is characteristic of the soil properties for geotechnical studies. © 2007 Taylor & Francis Group.
Mots clés
Geotechnical engineering
Identification (control systems)
Numerical methods
Optimization
Paper sheeting
Soils
Horizontal displacements
In-situ
Inverse analysis methods
Optimization methods
Optimum values
Parameter identifications
Principal components
Principle component analysis
Robust optimization methods
Sheet pile walls
Soil parameter identifications
Soil properties
Principal component analysis
Algorithms
Diesel engines
Genetic algorithms