HETEROGENEITY ASSESSMENT BASED ON AVERAGE VARIATIONS OF MORPHOLOGICAL TORTUOSITY FOR COMPLEX POROUS STRUCTURES CHARACTERIZATION

被引:3
作者
Chaniot, Johan [1 ,2 ]
Moreaud, Maxime [1 ,3 ]
Sorbier, Loic [1 ]
Jeulin, Dominique [3 ]
Becker, Jean-Marie [2 ]
Fournel, Thierry [2 ]
机构
[1] IFP Energies Nouvelles, Rond Point Echangeur Solaizc, BP 3, F-69360 Solaize, France
[2] Univ Lyon, Univ Jean Monnet St Etienne, CNRS, UMR 5516, F-42000 St Etienne, France
[3] PSL Res Univ, MINES ParisTech, CMM, 35 Rue St Honore, F-77305 Fontainebleau, France
关键词
geodesic distance transform; heterogeneity; Monte Carlo algorithms; morphological tortuosity; multi-scale porous network; RANDOM MODELS; PERCOLATION; TRANSPORT; MEDIA; MICROSTRUCTURE; DIFFUSION; ALGORITHM; VOLUME; SIZE; NMR;
D O I
10.5566/ias.2370
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:111 / 128
页数:18
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