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• W2060040423 abstract "In this study, a previously developed reconstruction methodology is extended to three-dimensional reconstruction of a three-phase microstructure, based on two-point correlation functions and two-point cluster functions. The reconstruction process has been implemented based on hybrid stochastic methodology for simulating the virtual microstructure. While different phases of the heterogeneous medium are represented by different cells, growth of these cells is controlled by optimizing parameters such as rotation, shrinkage, translation, distribution and growth rates of the cells. Based on the reconstructed microstructure, finite element method (FEM) was used to compute the effective elastic modulus and effective thermal conductivity. A statistical approach, based on two-point correlation functions, was also used to directly estimate the effective properties of the developed microstructures. Good agreement between the predicted results from FEM analysis and statistical methods was found confirming the efficiency of the statistical methods for prediction of thermo-mechanical properties of three-phase composites." @default.
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• W2060040423 date "2012-01-01" @default.
• W2060040423 modified "2023-09-27" @default.
• W2060040423 title "Three-dimensional reconstruction and homogenization of heterogeneous materials using statistical correlation functions and FEM" @default.
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• W2060040423 doi "https://doi.org/10.1016/j.commatsci.2011.08.001" @default.
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