Dimitri Debruyne

TL;DR: In this paper, the influence of the adopted correlation function, the interpolation order, the shape function and the subset size on the derived displacements were investigated using numerically deformed images that were obtained by imposing finite element displacement fields on an undeformed image yielding plastic deformation of the specimen.

TL;DR: In this article, an unfactorized and relativistic framework for calculating A(e,e'p) observables at typical JLAB energies is presented and compared to data from SLAC and JLAB.

TL;DR: In this paper, the authors demonstrate the application of digital image correlation (DIC) in evaluating the strains and Poisson ratio of a range of soft materials in terms of their spatial and temporal resolutions.

TL;DR: Inverse methods offer a powerful tool for the identification of the elasto-plastic material parameters as mentioned in this paper, which can deal with heterogeneous deformation fields, and are able to deal with the fact that the unknown material parameters in the FE model are iteratively tuned so as to match the experimentally measured and numerically computed strain fields as closely as possible.

TL;DR: In this paper, an alternative method to identify the post-necking hardening behavior of sheet metal without using a finite element model is presented, where the key point is the minimization of the discrepancy between the internal and external work in the necking zone during a tensile test.