Homogenization method and machine learning analysis for improving acoustic properties of laminated sound-absorbing materials
積層型吸音材の音響特性向上に向けた均質化法と機械学習による解析
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20244128
- Paper/Info type
- Journal of Society of Automotive Engineers of Japan
Vol.78 No.2
- Pages
- 64-72(Total 8 p)
- Date of publication
- Feb 2024
- Publisher
- JSAE
- Language
- Japanese
Detailed Information
| Category(J) | ホットトピックス Translation |
|---|---|
| Category(E) | Hot Topics |
| Author(J) | 1) 藤原 幸宏, 2) 山本 崇史 |
| Author(E) | 1) Yukihiro Fujiwara, 2) Takashi Yamamoto |
| Affiliation(J) | 1) AGC, 2) 工学院大学 |
| Abstract(J) | 不織布と発泡ウレタンから成る複合型積層吸音材を対象として均質化法による吸音特性解析技術を適用した．さらに得られた数万パターンの計算結果に機械学習の手法を適用することで，吸音特性に影響の大きい因子と，その適正範囲を計算科学的に提示した事例について述べる． Translation |
| Abstract(E) | Sound absorption analysis based on the homogenization method was applied to composite laminated materials made from nonwoven fabrics and urethane foam. Furthermore, by applying machine learning methods to a large number of calculation results, factors that have a large influence on sound absorption properties and their optimal range were clarified from the viewpoint of computational science. |
