Elastoplastic Behavior Identification for Heterogeneous Loadings and Materials

Image processing techniques provide access to full field measurements of different thermomechanical data (strain; strain-rate, Wattrisse et al., J Exp Mech, 41:29–38, 2001 ; temperature, Chrysochoos and Louche, Int J Eng Sci 38:1759–1788, 2000 ...). These techniques have become increasingly useful f...

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Published inExperimental mechanics Vol. 48; no. 4; pp. 435 - 449
Main Authors Latourte, F., Chrysochoos, A., Pagano, S., Wattrisse, B.
Format Journal Article
LanguageEnglish
Published Boston Springer US 2008
Society for Experimental Mechanics
Subjects
Biomedical Engineering and Bioengineering
Characterization and Evaluation of Materials
Control
Dynamical Systems
Engineering
Engineering Sciences
Lasers
Mechanics
Optical Devices
Optics
Photonics
Physics
Solid Mechanics
Vibration
Elastoplasticity
Field measurement
Inverse problem
elastoplasticity
field measurement
inverse problem
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Summary:Image processing techniques provide access to full field measurements of different thermomechanical data (strain; strain-rate, Wattrisse et al., J Exp Mech, 41:29–38, 2001 ; temperature, Chrysochoos and Louche, Int J Eng Sci 38:1759–1788, 2000 ...). These techniques have become increasingly useful for obtaining fine and local descriptions of material properties. As they can measure complete thermal and mechanical fields, they can be used to identify several parameters of constitutive equations during a single deformation process using specifically designed heterogeneous tests (Grédiac, Composites: Part A 35:751–761, 2004 ). In Geymonat and Pagano (Meccanica 38:535–545, 2003 ), surface strain fields obtained by digital image correlation were used to identify the distribution of elastic parameters and stress fields by minimizing a given energy functional. In this paper, the previous method is improved through a relevant choice for stress approximation, and then extended to a wider class of elastoplastic materials. Its reliability is then checked through applications on simulated data obtained under small perturbation and plane stress assumptions. In particular, the robustness of the method with respect to measurement noise is studied on the basis of numerical data. An experimental application to heterogeneous material identification is finally proposed.
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ISSN:0014-4851
1741-2765
DOI:10.1007/s11340-007-9088-y