Optimal polyhedral description of 3D polycrystals: method and application to statistical and synchrotron X-ray diffraction data - Archive ouverte HAL Access content directly
Journal Articles Computer Methods in Applied Mechanics and Engineering Year : 2017

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

Romain Quey

Abstract

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.
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Dates and versions

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

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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⟩
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