疲労き裂進展予測モデルのためのデータ拡張に関する研究

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Summary, etc.：: <p>Prediction techniques based on numerical analysis results of components containing cracks can contribute to the safety assessment of machinery and ...

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Material Type: 記事
Title: 疲労き裂進展予測モデルのためのデータ拡張に関する研究
Volume: 2025.38
0
Author/Editor: 豊吉巧也
Author Heading: 豊吉巧也
TOYOSHI Takuya
Publication Date: 2025
Publication Date (W3CDTF): 2025
Alternative Title: Study on data augmentation for fatigue crack growth prediction model
Periodical title: 計算力学講演会講演論文集
The Proceedings of The Computational Mechanics Conference
No. or year of volume/issue: 2025.38 0
Volume: 2025.38
Issue: 0
Pages: OS22-4
ISSN (Periodical Title): 2424-2799
Alias of Author: TOYOSHI Takuya
Subject Heading: Fatige crack propagation
Surrogate modeling
S-veraion FEM
Relative frequency equalized data augmentation method
Target Audience: 一般
DOI: 10.1299/jsmecmd.2025.38.OS22-4
Access Restrictions: インターネット公開
Data Provider (Database): 科学技術振興機構 : J-STAGE
http://www.jstage.jst.go.jp