Authors: Michele Badaloni Marco Rossi Gianluca Chiappini Pascal Lava Dimitri Debruyne
Publish Date: 2015/06/02
Volume: 55, Issue: 8, Pages: 1411-1426
Abstract
This paper is concerned with an indepth study of the interactions between fullfield measurements errors and material identification It is a further step in a research plan that aims to create a simulation procedure of actual experiments with the final goal of using the simulator to optimise the test setup in terms of specimen shape measurement technique applied load etc In particularhere Digital Image Correlation DIC is used as a fullfield technique to obtain strain and displacement fields These maps are used as input in an inverse methodology as for instance the virtual fields method VFM to obtain the material parameters introducing uncertainties in the characterization The purpose of this contribution is to bridge the gap between experiments and simulations in order to obtain predictions as close as possible to reality in terms of identification error That will be used as final goal of the general study to optimize numerically a test setup configuration giving a priori the best parameters to use to experimentally identify a specimen In the present contribute the operating procedure is to perform real experiments and then to reproduce them numerically Experimental uncertainties such as noise lighting conditions inplane and outofplane motions are treated separately and introduced in the simulator As such their impact on the identified material properties can be unambiguously investigated Here focus is on the elastic properties of aluminium specimens ie the Young’s modulus and the Poisson ratio and their specific variances due to the aforementioned errors The simulator predicts reality to a large extent
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