Optimal polyhedral description of 3D polycrystals: method and application to statistical and synchrotron X-ray diffraction data - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Computer Methods in Applied Mechanics and Engineering Année : 2017

Optimal polyhedral description of 3D polycrystals: method and application to statistical and synchrotron X-ray diffraction data

Romain Quey

Résumé

A methodology is presented for optimal polyhedral description of 3D polycrystals from experimental properties. This is achieved by determining, by optimization, appropriate attributes of the seeds of Laguerre tessellations. The resulting tessellations are optimal in the sense that no further improvements are possible using convex geometries. The optimization of Laguerre tessellation combines a new, computationally-efficient algorithm for updating tessellations between iterations to a generic optimization algorithm. The method is applied to different types of experimental data, either statistical, such as grain size distributions, or grain-based, as provided by synchrotron X-ray diffraction experiments. It is then shown how the tessellations can be meshed for finite-element simulations. The new method opens the way to more systematic and quantitative analyses of microstructural effects on properties. The presented algorithms are implemented and distributed in the free (open-source) software package Neper.
Fichier principal
Vignette du fichier
paper.pdf (8.03 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01626440 , version 1 (30-10-2017)

Identifiants

Citer

Romain Quey, Loïc Renversade. Optimal polyhedral description of 3D polycrystals: method and application to statistical and synchrotron X-ray diffraction data. Computer Methods in Applied Mechanics and Engineering, In press, 330, pp.308-333. ⟨10.1016/j.cma.2017.10.029⟩. ⟨hal-01626440⟩
1182 Consultations
665 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More