Homogenized thermal properties of 3D composites with full uncertainty in the microstructure

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Original languageEnglish
Pages (from-to)369-387
Number of pages19
JournalStructural Engineering and Mechanics
Volume57
Issue number2
Publication statusPublished - 25 Jan 2016

Abstract

In this work, random homogenization analysis for the effective thermal properties of a three-dimensional composite material with unidirectional fibers is presented by combining the equivalent inclusion method with Random Factor Method (RFM). The randomness of the micro-structural morphology and constituent material properties as well as the correlation among these random parameters are completely accounted for, and stochastic effective thermal properties as thermal expansion coefficients as well as their correlation are then sought. Results from the RFM and the Monte-Carlo Method (MCM) are compared. The impact of randomness and correlation of the micro-structural parameters on the random homogenized results is revealed by two methods simultaneously, and some important conclusions are obtained.

Keywords

    Monte-Carlo Method, Random effective thermal proterties, Random Factor Method, Random homogenization, Randomness and correlation

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Homogenized thermal properties of 3D composites with full uncertainty in the microstructure. / Ma, Juan; Wriggers, Peter; Li, Liangjie.
In: Structural Engineering and Mechanics, Vol. 57, No. 2, 25.01.2016, p. 369-387.

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AU - Wriggers, Peter

AU - Li, Liangjie

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AB - In this work, random homogenization analysis for the effective thermal properties of a three-dimensional composite material with unidirectional fibers is presented by combining the equivalent inclusion method with Random Factor Method (RFM). The randomness of the micro-structural morphology and constituent material properties as well as the correlation among these random parameters are completely accounted for, and stochastic effective thermal properties as thermal expansion coefficients as well as their correlation are then sought. Results from the RFM and the Monte-Carlo Method (MCM) are compared. The impact of randomness and correlation of the micro-structural parameters on the random homogenized results is revealed by two methods simultaneously, and some important conclusions are obtained.

KW - Monte-Carlo Method

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KW - Random Factor Method

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