Parameter identification for anisotropic plasticity model using digital image correlation: Comparison between uni-axial and bi-axial tensile testing

David Lecompte, Steven Cooreman, Sam Coppieters, John Vantomme, Hugo Sol, Dimitri Debruyne

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)393-418
Number of pages26
JournalEuropean Journal of Computational Mechanics
Volume18
Issue number3-4
DOIs
Publication statusPublished - 2009

Keywords

  • Digital image correlation
  • Inverse modelling
  • Material identification

Fingerprint

Dive into the research topics of 'Parameter identification for anisotropic plasticity model using digital image correlation: Comparison between uni-axial and bi-axial tensile testing'. Together they form a unique fingerprint.

Cite this