Low-cost approximate reconstructing of heterogeneous microstructures
| Autor: | R. Piasecki, W. Olchawa, D. Frączek, R. Wiśniowski |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
General Computer Science
Phase (waves) FOS: Physical sciences General Physics and Astronomy entropic descriptor 02 engineering and technology computer.software_genre 01 natural sciences Measure (mathematics) heterogeneous microstructures Voxel 0103 physical sciences General Materials Science 010306 general physics Condensed Matter - Statistical Mechanics Mathematics Statistical Mechanics (cond-mat.stat-mech) 3D microstructure reconstruction two-exponent power-law General Chemistry Radius Function (mathematics) 021001 nanoscience & nanotechnology Microstructure Sample (graphics) Computational Mathematics Mechanics of Materials SPHERES 0210 nano-technology computer Algorithm |
| Popis: | We propose an approximate reconstruction of random heterogeneous microstructures using the two-exponent power-law (TEPL). This rule originates from the entropic descriptor (ED) that is a multi-scale measure of spatial inhomogeneity for a given microstructure. A digitized target sample is a cube of linear size L in voxels. Then, a number of trial configurations can be generated by a model of overlapping spheres of a fixed radius, which are randomly distributed on a regular lattice. The TEPL describes the averaged maximum of the ED as a function of the phase concentration and the radius. Thus, it can be used to determine the radius. The suggested approach is tested on surrogate samples of ceramic and carbonate. In each of the cases, fifty low-cost trials provided a few good enough candidates to a selection of the optimal reconstruction. When a better accuracy is planned, the final reconstructions can serve as the starting configurations. Then, the resulting reconstructions should be competitive indeed to those starting with random configurations. In Figure 3, the repeated by mistake Fig. 2b is replaced by the correct Fig. 3b, published version |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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