書誌事項
- タイトル別名
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- Polynomial-based Approximate Inverse Stochastic Homogenization Analysis of a Particle Reinforced Composite Material Considering Correlated Multiple Microscopic Random Variations
- 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
この論文をさがす
抄録
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.
収録刊行物
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- Journal of Smart Processing
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Journal of Smart Processing 5 (1), 32-38, 2016-01-20
一般社団法人 スマートプロセス学会 (旧高温学会)
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390282680391885568
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- NII論文ID
- 130006907649
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- NII書誌ID
- AA12553487
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- ISSN
- 21871337
- 2186702X
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- NDL書誌ID
- 027077529
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可