Experimental Validation of the Sensitivity-Based Virtual Fields for Identification of Anisotropic Plasticity Models
Aleksander Marek, Frances M. Davis, J.-H. Kim, Fabrice Pierron
Abstract
Abstract In this work, the sensitivity-based virtual fields have been applied to identify two anisotropic plasticity models (Hill48, Yld2000-2D) using a deep-notched tensile test performed on flat samples of cold-rolled sheet of DC04 steel. The material was characterised using the standard protocol to obtain the reference sets of parameters. Deformation data was obtained during deep-notched tests using stereo digital image correlation and the virtual fields method was employed to identify material parameters. It was found that the sensitivity-based virtual fields outperform the standard user-defined virtual fields in terms of accuracy.
Topics & Concepts
Digital image correlationSensitivity (control systems)Solid mechanicsPlasticityDeformation (meteorology)AnisotropyTensile testingMaterials scienceUltimate tensile strengthComputer scienceArtificial intelligenceComposite materialEngineeringOpticsPhysicsElectronic engineeringMetal Forming Simulation TechniquesMetallurgy and Material FormingOptical measurement and interference techniques