Literature DB >> 27547103

Third-order thermo-mechanical properties for packs of Platonic solids using statistical micromechanics.

A Gillman1, G Amadio2, K Matouš1, T L Jackson3.   

Abstract

Obtaining an accurate higher order statistical description of heterogeneous materials and using this information to predict effective material behaviour with high fidelity has remained an outstanding problem for many years. In a recent letter, Gillman & Matouš (2014 Phys. Lett. A 378, 3070-3073. ()) accurately evaluated the three-point microstructural parameter that arises in third-order theories and predicted with high accuracy the effective thermal conductivity of highly packed material systems. Expanding this work here, we predict for the first time effective thermo-mechanical properties of granular Platonic solid packs using third-order statistical micromechanics. Systems of impenetrable and penetrable spheres are considered to verify adaptive methods for computing n-point probability functions directly from three-dimensional microstructures, and excellent agreement is shown with simulation. Moreover, a significant shape effect is discovered for the effective thermal conductivity of highly packed composites, whereas a moderate shape effect is exhibited for the elastic constants.

Keywords:  adaptive interpolation/integration; effective material properties; heterogeneous materials; high-performance computing; statistical micromechanics

Year:  2015        PMID: 27547103      PMCID: PMC4985041          DOI: 10.1098/rspa.2015.0060

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  12 in total

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Authors:  S Torquato; Y Jiao
Journal:  Nature       Date:  2009-08-13       Impact factor: 49.962

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9.  Microstructure-statistics-property relations of anisotropic polydisperse particulate composites using tomography.

Authors:  A Gillman; K Matouš; S Atkinson
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-22

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-10-05
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  2 in total

1.  Third-Order Effective Properties for Random-Packing Systems Using Statistical Micromechanics Based on a GPU Parallel Algorithm in Fast Computing n-Point Correlation Functions.

Authors:  Shaobo Sun; Huisu Chen; Jianjun Lin
Journal:  Materials (Basel)       Date:  2022-08-22       Impact factor: 3.748

2.  A Universal Method for Modeling and Characterizing Non-Circular Packing Systems Based on n-Point Correlation Functions.

Authors:  Shaobo Sun; Huisu Chen; Jianjun Lin
Journal:  Materials (Basel)       Date:  2022-08-30       Impact factor: 3.748

  2 in total

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