Polynomial-based Approximate Inverse Stochastic Homogenization Analysis of a Particle Reinforced Composite Material Considering Correlated Multiple Microscopic Random Variations

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  • 相関を有する複数の微視的変動を想定した多項式近似による粒子強化複合材料の近似確率均質化逆解析
  • ソウカン オ ユウスル フクスウ ノ ビシテキ ヘンドウ オ ソウテイ シタ タコウシキ キンジ ニ ヨル リュウシ キョウカ フクゴウ ザイリョウ ノ キンジ カクリツ キンシツカ ギャクカイセキ

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Abstract

  This paper describes an inverse stochastic homogenization analysis of a particle composite material considering correlated multiple microscopic random variations. Since a microscopic random variation will cause a random response of an equivalent material property or mechanical response of a composite structure, the analysis of its influence is important for reliability evaluation of the structure. On the other hand, in general, the probabilistic property of a microscopic quantity is unknown after manufacturing. From this reason, this study aims at development of the analysis method for the inverse stochastic homogenization problem, which identifies the microscopic probabilistic property from that of the macroscopic quantities. In particular, applicability of the polynomial-based approximation to the inverse stochastic homogenization analysis is investigated in this paper.

Journal

  • Journal of Smart Processing

    Journal of Smart Processing 5 (1), 32-38, 2016-01-20

    Smart Processing Society for Materials, Environment & Energy (High Temperature Society of Japan)

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