Low-cost approximate reconstructing of heterogeneous microstructures

TL;DR

This paper introduces a low-cost method for approximate reconstruction of heterogeneous microstructures using the two-exponent power-law, leveraging the entropic descriptor to efficiently generate and select microstructure configurations.

Contribution

It presents a novel, cost-effective approach combining the TEPL and entropic descriptor for microstructure reconstruction, reducing computational effort compared to traditional methods.

Findings

Fifty trials can identify good candidate reconstructions.

The method is effective on ceramic and carbonate microstructures.

Final reconstructions can be refined from initial good candidates.

Abstract

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.