Journal article
Gradient-based microstructure reconstructions from distributions using fast Fourier transforms
Materials science & engineering. A, Structural materials : properties, microstructure and processing, v 494(1-2), pp 68-72
25 Oct 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Reconstructions are an important step in analyzing the statistics of local state distributions in the internal structure of heterogeneous material systems and in estimating their effective properties using deterministic models. In this paper, we demonstrate the use of fast Fourier transforms (FFTs) and gradient-based algorithms for the reconstruction of microstructure realizations from 2-point statistics. The FFT method greatly improves the computational efficiency of the algorithm, facilitating use of the full set of 2-point statistics in the reconstruction. This approach introduces periodic boundary conditions naturally into the model. The reconstruction of several two-phase 2D structures is demonstrated, resulting in exact replicas of the original microstructures. The limitations of the technique, especially for more complex structures, are also discussed. (C) 2007 Elsevier B.V. All rights reserved.
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Details
- Title
- Gradient-based microstructure reconstructions from distributions using fast Fourier transforms
- Creators
- D. T. Fullwood - Drexel UniversityS. R. Kalidindi - Drexel UniversityS. R. Niezgoda - Drexel UniversityA. Fast - Drexel UniversityN. Hampson - Drexel University
- Publication Details
- Materials science & engineering. A, Structural materials : properties, microstructure and processing, v 494(1-2), pp 68-72
- Publisher
- Elsevier
- Number of pages
- 5
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Materials Science and Engineering
- Web of Science ID
- WOS:000259983700010
- Scopus ID
- 2-s2.0-49849093306
- Other Identifier
- 991021901312204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Materials Science, Multidisciplinary
- Metallurgy & Metallurgical Engineering
- Nanoscience & Nanotechnology