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INVERSE STOCHASTIC HOMOGENIZATION OF A PARTICLE REINFORCED COMPOSITE MATERIAL WITH A FUNCTION APPROXIMATION APPROACH

Sakata, S.; Ashida, F.; Shimizu, Y.;

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This paper describes a new computational methodology for the inverse stochastic homogenization problem. The inverse stochastic homogenization analysis will be performed for identigying a microscopic random variation in a microstructure of a heterogeneous material such as a composite material from a set of observed probabilistic characteristics if the homogenized material properties. In the previous paper, the Monde-Carlo simulation-based approach has been proposed, but it takes a high computational cost. For this problem, a function-approximation based inverse stochastic homogenization problem for a particle reinforced composite material is solved. From the numerical results, accuracy and effectiveness of the proposed approach will be discussed.

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Palavras-chave: Inverse Stochastic Homogenization, Polynomial Approximation, Perturbation, particle Reinforced composite Material, Homogenization Method,

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DOI: 10.5151/meceng-wccm2012-18985

Referências bibliográficas
Como citar:

Sakata, S.; Ashida, F.; Shimizu, Y.; "INVERSE STOCHASTIC HOMOGENIZATION OF A PARTICLE REINFORCED COMPOSITE MATERIAL WITH A FUNCTION APPROXIMATION APPROACH", p. 2690-2699 . In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 2358-0828, DOI 10.5151/meceng-wccm2012-18985

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