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超音速機主翼の大域的な多分野融合最適設計
https://jaxa.repo.nii.ac.jp/records/4913
https://jaxa.repo.nii.ac.jp/records/491392657e4d-c15d-4c9f-8980-69a8f443da12
名前 / ファイル | ライセンス | アクション |
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64672015.pdf (905.0 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2015-03-26 | |||||
タイトル | ||||||
タイトル | 超音速機主翼の大域的な多分野融合最適設計 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
その他のタイトル(英) | ||||||
その他のタイトル | Global Multidisciplinary Design Optimization for a Supersonic Wing | |||||
著者 |
瀬戸, 直人
× 瀬戸, 直人× 牧野, 好和× 鄭, 信圭× 金崎, 雅博× Seto, Naoto× Makino, Yoshikazu× Jeong, Shinkyu× Kanazaki, Masahiro |
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著者所属 | ||||||
首都大学東京大学院 | ||||||
著者所属 | ||||||
宇宙航空研究開発機構航空プログラムグループ超音速機チーム | ||||||
著者所属 | ||||||
東北大学流体科学研究所 | ||||||
著者所属 | ||||||
首都大学東京 | ||||||
著者所属(英) | ||||||
en | ||||||
Graduate school of System Design, Tokyo Metropolitan University | ||||||
著者所属(英) | ||||||
en | ||||||
Supersonic Transport Team, Aviation Program Group, Japan Aerospace Exploration Agency (JAXA) | ||||||
著者所属(英) | ||||||
en | ||||||
Institute of Fluid Science, Tohoku University | ||||||
著者所属(英) | ||||||
en | ||||||
Tokyo Metropolitan University | ||||||
出版者 | ||||||
出版者 | 宇宙航空研究開発機構 | |||||
出版者(英) | ||||||
出版者 | Japan Aerospace Exploration Agency (JAXA) | |||||
書誌情報 |
宇宙航空研究開発機構特別資料: 第41回流体力学講演会/航空宇宙数値シミュレーション技術シンポジウム2009論文集 en : JAXA Special Publication: Proceedings fo 41st Fluid Dynamics Conference / Aerospace Numerical Simulation Symposium 2009 巻 JAXA-SP-09-011, 発行日 2010-02-26 |
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会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | 平成21年6月18-19日. 宇宙航空研究開発機構調布航空宇宙センター | |||||
会議概要(会議名, 開催地, 会期, 主催者等)(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | 18 June-19 June, 2009, Japan Aerospace Exploration Agency | |||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Multidisciplinary design optimization for supersonic wing geometry is carried out. The objective functions are to maximize lift to drag ratio and to minimize sonic boom intensity at supersonic cruise respectively, and to minimize wing weight. Multi-Objective genetic algorithm (MOGA) is applied as an optimizer, which Kriging model is used to reduce computational cost. For Kriging model construction, 75 sample points are evaluated. To obtain the information of the design space, functional Analysis of Variance (ANOVA) which is one of the knowledge discovery techniques is applied. According to their results, there is trade-off relationship among 3 objective functions. ANOVA results say that the cambers of the wing section at root and kink are effective in lift to drag ratio, the inner wing sweep back angle is in sonic boom intensity, camber of wing section at kink and aspect ratio are in wing weight. Considering the calculation cost of objective functions, time-wise effective MDO tool has been constructed. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 形態: カラー図版あり | |||||
内容記述(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Physical characteristics: Original contains color illustrations | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1349-113X | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11984031 | |||||
資料番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 資料番号: AA0064672015 | |||||
レポート番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | レポート番号: JAXA-SP-09-011 |