FEA parameter verification for strain localization experiments
Mark A. Iadicola, Dilip K. Banerjee, Adam A. Creuziger
Multi-axial specimen geometry optimization through finite element analysis requires robust models that incorporate the critical physics of the experiment as well as a sufficiently robust constitutive law. This can be difficult even at low nominal strain rates when the multi-axial behavior of interest is in the non-linear response regime (e.g. strain localization). The verification alone of both the physical and constitutive law model parameters may be approached as a separate precursor optimization problem, and may require specialized verification tests. The resulting model and parameters then need to be validated against other tests within the range of expected conditions. These days, the data for both the verification and validation can take many forms including point, profile, or surface field data. These data can come form a combination of testing machine control and feedback, contact measurements, and optical measurements (both visible and infrared). This makes even the verification optimization problem complex when one considers potential cost functions and uncertainties of the measurements. In this work we frame the general problem and focus on the strain rate and thermal aspects to optimally determine parameters for the model verification, and look at validation from tests performed at other displacement rates.
Proceedings of the Society for Experimental Mechanics 2016 Annual Conference
June 6-9, 2016
SEM XIII INTERNATIONAL CONGRESS AND EXPOSITION ON EXPERIMENTAL AND APPLIED MECHANICS
inverse problem, Johnson-Cook, digital image correlation, infrared imaging, optimization, FEA
, Banerjee, D.
and Creuziger, A.
FEA parameter verification for strain localization experiments, Proceedings of the Society for Experimental Mechanics 2016 Annual Conference, ORLANDO, FL
(Accessed June 10, 2023)