Heterogeneity Assessment Based on Average Variations of Morphological Tortuosity for Complex Porous Structures Characterization
| Autor: | Johan Chaniot, Maxime Moreaud, Loic Sorbier, Dominique Jeulin, Jean-Marie Becker, Thierry Fournel |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Image Analysis and Stereology, Vol 39, Iss 2, Pp 111-128 (2020) |
| Druh dokumentu: | article |
| ISSN: | 1580-3139 1854-5165 |
| DOI: | 10.5566/ias.2370 |
| Popis: | Morphological characterization of porous media is of paramount interest, mainly due to the connections between their physicochemical properties and their porous microstructure geometry. Heterogeneity can be seen as a geometric characteristic of porous microstructures. In this paper, two novel topological descriptors are proposed, based on the M-tortuosity formalism. Using the concept of geometric tortuosity or morphological tortuosity, a first operator is defined, the H-tortuosity. It estimates the average variations of the morphological tortuosity as a function of the scale, based on Monte Carlo method and assessing the heterogeneity of porous networks. The second descriptor is an extension, named the H-tortuosity-by-iterativeerosions, taking into account different percolating particle sizes. These two topological operators are applied on Cox multi-scale Boolean models, to validate their behaviors and to highlight their discriminative power. |
| Databáze: | Directory of Open Access Journals |
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