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Steven Cooreman

Researcher at ArcelorMittal

Publications -  49
Citations -  1113

Steven Cooreman is an academic researcher from ArcelorMittal. The author has contributed to research in topics: Finite element method & Digital image correlation. The author has an hindex of 13, co-authored 46 publications receiving 976 citations. Previous affiliations of Steven Cooreman include Royal Military Academy & Vrije Universiteit Brussel.

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Assessment of measuring errors in DIC using deformation fields generated by plastic FEA

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.
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Identification of Mechanical Material Behavior Through Inverse Modeling and DIC

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.
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Identification of the post-necking hardening behaviour of sheet metal by comparison of the internal and external work in the necking zone

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.
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Study of systematic errors in strain fields obtained via DIC using heterogeneous deformation generated by plastic FEA

TL;DR: In this article, the authors investigated the influence of shape function, the interpolation order and the subset size on the derived strain fields and showed that the errors can be substantially reduced if conscious choices in the abovementioned implementations are made.
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Elasto-plastic material parameter identification by inverse methods: Calculation of the sensitivity matrix

TL;DR: Inverse methods offer a powerful tool for the identification of elasto-plastic material properties of metals as discussed by the authors, where the basic principle of the inverse method is to compare an experimentally measured strain field with a strain field computed by a finite element (FE) model.