Impact of Experimental Uncertainties on the Identification of Mechanical Material Properties using DIC

摘要: This paper is concerned with an in-depth study of the interactions between full-field measurements errors and material identification. It a further step in research plan that aims to create simulation procedure actual experiments, final goal using simulator optimise test set-up terms specimen shape, measurement technique, applied load etc. In particular,here, Digital Image Correlation (DIC) used as technique obtain strain displacement fields. These maps are input inverse methodology as, for instance, virtual fields method (VFM) parameters introducing uncertainties characterization. The purpose this contribution bridge gap experiments simulations, order predictions close possible reality identification error. That will be used, general study, optimize numerically configuration, giving priori best use experimentally identify specimen. present contribute, operating perform real then reproduce them numerically. Experimental such noise, lighting conditions, in-plane out-of-plane motions treated separately introduced simulator. As such, their impact on identified properties can unambiguously investigated. Here, focus elastic aluminium specimens, i.e. Young’s modulus Poisson ratio specific variances due aforementioned errors. predicts large extent.