Open AccessParameter identification for anisotropic plasticity model using digital image correlation
Author(s) -
David Lecompte,
Steven Cooreman,
Sam Coppieters,
John Vantomme,
Hugo Sol,
Dimitri Debruyne
Publication year - 2009
Publication title -
european journal of computational mechanics
Language(s) - English
Resource type - Journals
eISSN - 2642-2085
pISSN - 2642-2050
DOI - 10.13052/ejcm.18.393-418
Subject(s) - digital image correlation , cruciform , isotropy , finite element method , anisotropy , plasticity , materials science , tensile testing , ultimate tensile strength , hardening (computing) , structural engineering , digital image , work hardening , mechanics , composite material , engineering , physics , optics , image processing , computer science , image (mathematics) , microstructure , layer (electronics) , artificial intelligence
The basic principle of the described procedure for plastic material identification is the generation of a complex and heterogeneous deformation field, which is measured by digital image correlation (DIC) and compared to Finite Element (FE) simulations. In this paper two tests for the identification of the hardening behaviour and the yield locus of DC06 steel are compared: a uni-axial test on a perforated rectangular specimen and a bi-axial tensile test on a cruciform specimen. The work hardening of the material is assumed to be isotropic and the yield locus is modelled by the anisotropic Hill48 criterion. The identification results for the different material parameters, based on both the uni- and the bi-axial test, are discussed and show a significant agreement.