Inverse identification of constitutive parameters from heat source fields: A local approach applied to hyperelasticity - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Strain Année : 2020

Inverse identification of constitutive parameters from heat source fields: A local approach applied to hyperelasticity

Sylvain Charles

Résumé

In this paper, a new inverse identification method of constitutive parameters is developed from full kinematic and thermal field measurements. It consists in reconstructing the heat source field from two different approaches by using the heat diffusion equation. The first one requires the temperature field measurement and the value of the thermophysical parameters. The second one is based on the kinematic field measurement and the choice of a thermo-hyperelastic model that contains the parameters to be identified. The identification is carried out at the local scale, ie, at any point of the heat source field, without using the boundary conditions. In the present work, the method is applied to the challenging case of hyperelasticity from a heterogeneous test. Due to large deformations undergone by the rubber specimen tested, a motion compensation technique is developed to plot the kinematic and the thermal fields at the same points before reconstructing the heterogeneous heat source field. In the present case, the constitutive parameter of the Neo-Hookean model has been identified, and its distribution has been characterized with respect to the strain state at the surface of a cross-shaped specimen.
Fichier principal
Vignette du fichier
SC2020.pdf (671.9 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02469675 , version 1 (07-05-2020)

Licence

Paternité

Identifiants

Citer

Sylvain Charles, Jean-Benoit Le Cam. Inverse identification of constitutive parameters from heat source fields: A local approach applied to hyperelasticity. Strain, 2020, 56 (2), ⟨10.1111/str.12334⟩. ⟨hal-02469675⟩
107 Consultations
199 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More