Speeding up of microstructure reconstruction: II. Application to patterns of poly-dispersed islands

  title={Speeding up of microstructure reconstruction: II. Application to patterns of poly-dispersed islands},
  author={Wiesław Olchawa and Ryszard Piasecki},
  journal={Computational Materials Science},
Abstract We report a fast, efficient and credible statistical reconstruction of any two-phase patterns of islands of miscellaneous shapes and poly-dispersed in sizes. In the proposed multi-scale approach called a weighted doubly-hybrid, two different pairs of hybrid descriptors are used. As the first pair, we employ entropic quantifiers, while correlation functions are the second pair. Their competition allows considering a wider spectrum of morphological features. Instead of a standard random… Expand
A Two-Stage Reconstruction of Microstructures with Arbitrarily Shaped Inclusions
The results show that the two-stage reconstruction (TSR) method provides convincing realizations for complex microstructures with irregular inclusions of silica in rubber matrix as well as stones in cement paste. Expand
Statistical Reconstruction of Microstructures Using Entropic Descriptors
A multiscale approach of broad applicability to stochastic reconstruction of multiphase materials, including porous ones, using an optimization method, such as the simulated annealing (SA) and the so-called entropic descriptors (EDs). Expand
Low-cost approximate reconstructing of heterogeneous microstructures
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 aExpand
New algorithms for virtual reconstruction of heterogeneous microstructures
A new set of algorithms is introduced for the virtual reconstruction of heterogeneous material microstructures, in which morphologies of embedded particles/fibers are explicitly represented, and several example problems are presented to show the application of these algorithms. Expand
Numerical quantification of the impact of microstructure on the mechanical behavior of particulate Al/SiC composites in 2D
Abstract The objectives of the current manuscript are twofold: (i) Introducing an automated computational framework for creating realistic finite element models of metal matrix composites (MMCs)Expand
Cross-linked fiberglass packs: Microstructure reconstruction and finite element analysis of the micromechanical behavior
Abstract An automated computational framework is introduced for simulating the micromechanical behavior of a fiberglass insulation pack with cross-linked fibers under compression. A newExpand
An integrated computational framework for simulating the failure response of carbon fiber reinforced polymer composites
A new computational framework is introduced for the automated finite element (FE) modeling of fiber reinforced composites and simulating their micromechanical behavior. The proposed methodologyExpand


Speeding up of microstructure reconstruction: I. Application to labyrinth patterns
Recently, entropic descriptor based Monte Carlo (MC) hybrid reconstruction of the microstructure of a binary/greyscale pattern has been proposed (Piasecki 2011 Proc. R. Soc. A 467 806). We try toExpand
Reconstruction of random microstructures––a stochastic optimization problem
In the present paper the simulated annealing procedure is used to reconstruct plane and spatial dispersions of inclusions as observed on reference images of respective microstructures. The dispersionExpand
On optimization techniques to reconstruct microstructures of random heterogeneous media
An optimization technique based on the genetic algorithm (GA) is proposed to reconstruct the microstructure of the RHM based on minimal microstructural information, compared with the simulated annealing technique and with the maximum entropy method. Expand
Microstructure reconstruction using entropic descriptors
  • R. Piasecki
  • Mathematics, Physics
  • Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
  • 2010
A multi-scale approach to the inverse reconstruction of a pattern’s microstructure is reported, and a pair of entropic descriptors (EDs) are proposed for a stochastic optimization method that reveals structural information that is dissimilar to that given by correlation functions at almost all discrete length scales. Expand
A hybrid process-based and stochastic reconstruction method of porous media
Abstract In the present study we have developed a hybrid method that combines statistical with process-based reconstruction methods to recreate the three dimensional morphology of a given porousExpand
Application of relative configurational entropy as a measure of spatial inhomogeneity to Co/C film evolving along the temperature
It is known that physical properties of a thin metallic film depend on spatial distribution of metal phase. Thermally treated thin film with metal particle clusters evolving along the temperature isExpand
Statistical mechanics characterization of spatio-compositional inhomogeneity
On the basis of a model system of pillars built of unit cubes, a two-component entropic measure for the multiscale analysis of spatio-compositional inhomogeneity is proposed. It quantifies theExpand
Comparison of reconstructed spatial microstructure images using different statistical descriptors
Abstract The objective of this research is to examine the use of statistical descriptors in the microstructure reconstruction process and the associated effect on microstructure properties. In thisExpand
Descriptor-based methodology for statistical characterization and 3D reconstruction of microstructural materials
Abstract 3D reconstructions of heterogeneous microstructures are important for assessing material properties using advanced simulation techniques such as finite element analysis (FEA). Nevertheless,Expand
Microstructure Sensitive Design for Performance Optimization
This review presents the MSD framework in the context of both the engineering advances that have led to its creation, and those that complement or provide alternative methods for design of materials (meaning ‘optimization of material structure’ in this context). Expand