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KAKEN_16H04239seika.pdf
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:545.7 KB
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:Mar 5, 2021 |
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| Title |
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確率的マルチフィジックス・マルチスケールモデリング法の提案と各種応用・妥当性確認
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カクリツテキ マルチフィジックス・マルチスケール モデリングホウ ノ テイアン ト カクシュ オウヨウ・ダトウセイ カクニン
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Kakuritsuteki maruchifijikkusu maruchisukēru moderinguhō no teian to kakushu ōyō datōsei kakunin
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Proposition of stochastic multiphysics and multiscale modeling with its applications and validation
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高野, 直樹
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タカノ, ナオキ
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Takano, Naoki
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慶應義塾大学・理工学部 (矢上) ・教授
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Research team head
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科研費研究者番号 : 10206782
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大谷, 章夫
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オオタニ, アキオ
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Ōtani, Akio
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京都工芸繊維大学・繊維学系・准教授
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Research team member
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科研費研究者番号 : 80569533
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松田, 哲也
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マツダ, テツヤ
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Matsuda, Tetsuya
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筑波大学・システム情報系・准教授
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Research team member
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科研費研究者番号 : 90345926
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仲井, 朝美
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ナカイ, アサミ
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Nakai, Asami
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岐阜大学・工学部・教授
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科研費研究者番号 : 10324724
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2020
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科学研究費補助金研究成果報告書
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2019
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| Abstract |
繊維強化複合材料と3D積層造形品を主たる対象として、製造に起因するばらつき・不確かさを考慮し、材料特性予測や製造プロセス設計に役立つ確率的有限要素解析手法を開発した。複合材料のミクロ構造における不均質性が考慮できるマルチスケール問題、および、製造プロセスにおけるマルチフィジックス問題に焦点を当て、不確かさの要因分析、感度解析、不確かさの伝播の解析に有用な確率的モデリング・非線形シミュレーション法を開発した。
Stochastic finite element analysis procedure has been developed to be used for the prediction of material properties and for the design of manufacturing process mainly for fiber reinforced composite materials and additively manufactured products considering the variability and uncertainty due to manufacturing. Focusing on the multiscale problem that can take microstructural heterogeneity into account and the multiphysics problem in the manufacturing process, stochastic modeling and nonlinear simulation methods have been developed that can be applied to the analysis of sources of uncertainty, sensitivity analysis and the analysis of uncertainty propagation.
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研究種目 : 基盤研究 (B) (一般)
研究期間 : 2016～2019
課題番号 : 16H04239
研究分野 : 計算力学、材料力学
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