Toward parameterization of material microstructure based on a bi-level reduced model
Résumé
The general idea here is to produce a high quality representation of the material phase indicator function of material microstructure for high resolution Digital Material Representation (DMR). The storage requirement is properly scaled down through bi-level reduction, by which the microstructure is represented in a reduced order in terms of the extracted spatial and parametric common bases. Based on the reduced data set, a parameterization model is proposed and the analysis of the intrinsic dimensionality yields the minimal set of parameters needed for the description of the microstructure with adequate precision. Moving Least Squares (MLS) is used for interpolation in this reduced space. We showcase the approach by constructing a low-dimensional model of a two-phase composite microstructure.
Origine : Fichiers produits par l'(les) auteur(s)
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