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2021 Fiscal Year Final Research Report

Thermo-mechanical coupled gradient-enhanced reduced order multi-scale analysis for the next-generation material design

Research Project

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Project/Area Number 20K14603
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 18010:Mechanics of materials and materials-related
Research InstitutionNagoya University

Principal Investigator

MATSUBARA SEISHIRO  名古屋大学, 工学研究科, 助教 (40823638)

Project Period (FY) 2020-04-01 – 2022-03-31
Keywordsマルチスケール / 均質化法 / 熱・機械連成問題 / ミクロ非定常 / 高分子複合材料
Outline of Final Research Achievements

In this study, we formulated a method of two-scale analysis to predict unsteady thermo-mechanically coupled behaviors in the microstructure of polymer based composite and to evaluate coupled thermo-mechanical macroscopic properties. As a result, the verification for the thermo-mechanically coupled problem of thermo-hyperelastic composite demonstrated that our proposed method can evaluate unsteady two-scale thermo-mechanically coupled behaviors of composites accurately.

Free Research Field

計算固体力学

Academic Significance and Societal Importance of the Research Achievements

本提案手法では,「非定常」な複合材料の熱・機械連成挙動を微視・巨視構造レベル双方で高精度に予測することが可能である.そのため,微視構造レベルで局所的に温度が蓄積し,それによる残留応力が問題となる充填ゴムや繊維強化樹脂の強度評価を高精度に実施することが可能である.また,トポロジー最適化手法との組み合わせによってこれらの弱点を克服するような微視構造のデザインも可能になる.したがって,本手法は実用面においても極めて有用であるといえる.

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Published: 2023-01-30  

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