A Two-Stage Reconstruction of Microstructures with Arbitrarily Shaped Inclusions.

ABSTRACT: The main goal of our research is to develop an effective method with a wide range of applications for the statistical reconstruction of heterogeneous microstructures with compact inclusions of any shape, such as highly irregular grains. The devised approach uses multi-scale extended entropic descriptors (ED) that quantify the degree of spatial non-uniformity of configurations of finite-sized objects. This technique is an innovative development of previously elaborated entropy methods for statistical reconstruction. Here, we discuss the two-dimensional case, but this method can be generalized into three dimensions. At the first stage, the developed procedure creates a set of black synthetic clusters that serve as surrogate inclusions. The clusters have the same individual areas and interfac

SUBMITTER: Piasecki R 

PROVIDER: S-EPMC7345931 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature