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Communication dans un congrès

Digital microstructures matching statistical distributions of features in real materials - Example of forgings

Abstract : Various analytical rules of mixture are commonly used to take into account heterogeneous features of a material and to derive global properties. But, with such models, one may not be able to fulfil the requirements for separating appropriately the different lengthscales. This might be the case for some issues such as strain localisation, surface effect, or topological distributions. At an intermediate lengthscale, which we refer to as the mesoscopic scale, one can still apply continuum mechanics. So why not perform calculations using the finite element method on volumes of material to obtain the response of Representative Elementary Volumes (R.E.V.). The construction of digital microstructures for such calculations is performed in two steps. First, a series of R.E.V.s with statistics of features of real materials should be defined. Then, finite element meshes should be produced for these R.E.V.s and updated when calculations involve large strains. Powerful automatic three-dimensional mesh generators and remeshing techniques prove necessary for this latter task. This strategy is applied to create digital R.E.V.s which match statistical features of forgings. Measurements provide micromechanical parameters of each subvolume. As an example of calculations, numerical simulations provide the anisotropic fatigue properties of forgings.
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Communication dans un congrès
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Contributeur : Magalie Prudon <>
Soumis le : vendredi 9 mars 2012 - 10:51:58
Dernière modification le : mercredi 14 octobre 2020 - 04:02:36
Archivage à long terme le : : vendredi 23 novembre 2012 - 16:11:20


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Marc Milesi, Yvan Chastel, Elie Hachem, Roland E. Logé, Pierre-Olivier Bouchard. Digital microstructures matching statistical distributions of features in real materials - Example of forgings. Metal Forming 2010, Sep 2010, Toyohashi, Japan. p. 1442-1445, ⟨10.1002/srin.201190002⟩. ⟨hal-00614556⟩



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