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Soil parameter identification from in situ measurement using a genetic algorithm and a principle component analysis
Levasseur, Séverine; Malécot, Yann; Boulon, Marc et al.
2007In Pande, G. N.; Pietruszczak, S. (Eds.) Numerical Models in Geomechanics
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Abstract :
[en] 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 set identified is described by a principal component analysis. This new inverse analysis method based on a genetic algorithm and a principle component analysis permits to defined an ellipsoid set of solutions which is characteristic of the soil properties for geotechnical studies.
Disciplines :
Civil engineering
Author, co-author :
Levasseur, Séverine ;  Université Joseph Fourier - Grenoble 1 - UJF > Laboratoire 3S
Malécot, Yann;  Université Joseph Fourier - Grenoble 1 - UJF > Laboratoire 3S
Boulon, Marc;  Université Joseph Fourier - Grenoble 1 - UJF > Laboratoire 3S
Flavigny, Etienne;  Université Joseph Fourier - Grenoble 1 - UJF > Laboratoire 3S
Language :
English
Title :
Soil parameter identification from in situ measurement using a genetic algorithm and a principle component analysis
Publication date :
2007
Event name :
NUMOG X
Event organizer :
G.N. Pande & S. Pietruszczak
Event place :
Rhodes, Greece
Event date :
25 au 27 avril 2007
Audience :
International
Main work title :
Numerical Models in Geomechanics
Editor :
Pande, G. N.
Pietruszczak, S.
Publisher :
Balkema, London, United Kingdom
Taylor & Francis, London, United Kingdom
ISBN/EAN :
978-0-415-44027-1
Pages :
665-670
Peer reviewed :
Peer reviewed
Available on ORBi :
since 12 August 2009

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