Computational Materials Science2022,Vol.2038.DOI:10.1016/j.commatsci.2021.111062

Scalable morphological accessibility of complex microstructures

Chaniot, Johan Moreaud, Maxime Sorbier, Loic Becker, Jean-Marie Fournel, Thierry
Computational Materials Science2022,Vol.2038.DOI:10.1016/j.commatsci.2021.111062

Scalable morphological accessibility of complex microstructures

Chaniot, Johan 1Moreaud, Maxime 1Sorbier, Loic 1Becker, Jean-Marie 2Fournel, Thierry2
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作者信息

  • 1. IFP Energies Nouvelles
  • 2. Univ Lyon
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Abstract

This paper addresses the descriptors-based characterization of dense 3D microstructures using the unifying concept of accessibility, mixing local shape features with global topology. Underlying percolation and constrictivity features are jointly considered by probing the connected components of the microstructure with structuring elements with increasing sizes. Adapted morphological operations are combined to provide a scalable protocol embedding suitable descriptors applied on accessible volumes, yielding a sharp discrimination power. The suggested framework named A-protocol can efficiently analyze complex microstructures by applying a stratified sampling for the selection of paths' endpoints, when connected. It stops when percolation ends, at a critical radius value. The A-protocol is tested on Cox multi-scale Boolean models using the Euler number as an arbitrarily chosen embedded descriptor. This computational protocol is available in the open access software environment plug im!.

Key words

Feature-based vector/Accessibility/Percolation/Constrictivity/Mathematical morphology/Porous network/POROUS-MEDIA/RANDOM SETS/PORE/CONNECTIVITY/DIFFUSION/SIZE

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
参考文献量59
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