Robustness of specimen design criteria for identification of anisotropic mechanical behaviour from heterogeneous mechanical fields

To reduce the number of tests required to characterize anisotropic elastoplastic constitutive models, an approach is design specimen geometries diversify stress states generated in a single test. The experiments are then processed using inverse identification method based on full-field measurements achieve full potential that specific Recent optimization methods were able complex specimens which highly heterogeneous fields generated. However, only assessed numerical simulations and does not consider effect biases introduced by measurement method. goal this work therefore take into account some most frequently observed selection process. proposed uses synthetic test images with simulations. Four have been ranked two criteria. first one indicator heterogeneity obtained finite element (unbiased data). second quantifies error for procedure due biases. criteria provide different rankings set specimens. It concluded (first criterion) necessarily more robust terms noise (second criterion), so optimized geometry should be selected compromise between these