Robust identification of elasto-plastic constitutive law parameters from digital images using 3D kinematics - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Solids and Structures Année : 2013

Robust identification of elasto-plastic constitutive law parameters from digital images using 3D kinematics

Résumé

Identification and model validation have been performed for decades using global response of samples or structures. Nowadays, the development of full field measurement techniques offers the opportunity to take benefit of a much larger amount of experimental data. Existing strategies that can handle full field data to estimate constitutive model parameters are limited to two-dimensional mechanical models. In some cases, such as finite strain plasticity, two-dimensional modeling is not acceptable and three-dimensional effects must be accounted for. In this paper, we propose an identification strategy that mixes intimately numerical simulations with digital image correlation and that can overcome the common limitations of existing methods. It is shown to be noise robust, to have a low sensitivity to initial parameter guess and to mesh refinement. Furthermore, the proposed strategy allows to discriminate between constitutive models that give similar global responses.
Fichier principal
Vignette du fichier
RECCC.pdf (1.99 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01007267 , version 1 (03-06-2017)

Licence

Paternité

Identifiants

Citer

Julien Réthoré, . Muhibullah, Thomas Elguedj, Michel Coret, Philippe Chaudet, et al.. Robust identification of elasto-plastic constitutive law parameters from digital images using 3D kinematics. International Journal of Solids and Structures, 2013, 50 (1), pp.73-85. ⟨10.1016/j.ijsolstr.2012.09.002⟩. ⟨hal-01007267⟩
120 Consultations
145 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More