Development of the Robust Design Method for Crash Analysis
衝突解析におけるロバスト設計手法の開発
- Delivery
- Available on the other site
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- Publication code
- 20224065
- Paper/Info type
- JSAE Transaction
Vol.53 No.2
- Pages
- 258-263(Total 6 p)
- Date of publication
- Mar 2022
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
Category(J) | 技術論文 Translation |
---|---|
Category(E) | TechnicalPaper |
Author(J) | 1) 菅野 千歳, 2) 田村 洋一, 3) 駒村 達哉 |
Author(E) | 1) Chitoshi Sugano, 2) Yoichi Tamura, 3) Tatsuya Komamura |
Affiliation(J) | 1) トヨタ自動車, 2) トヨタ自動車, 3) トヨタ自動車 |
Abstract(J) | 衝突解析における一連のロバスト設計プロセスを整理し,統計/機械学習を用いた変形パターンの分類/予測,良否判定,寄与因子の特定が可能であることを示した. Translation |
Abstract(E) | This paper describes a methodology for robust design in crash analysis. We organized a series of robust design processes for crash analysis and showed that it is possible to classify/predict deformation patterns, judge whether they are good or not, identify contributing parameters by applying statistical/machine learning methods in each process. By using a prediction model as a surrogate model, we achieved an extensive search in the design space in a short time. |