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A data assimilation methodology for reconstructing turbulent flows around aircraft
https://jaxa.repo.nii.ac.jp/records/22590
https://jaxa.repo.nii.ac.jp/records/22590e28b1118-7f7f-4aa5-8232-3b90696753cb
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2015-07-06 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | A data assimilation methodology for reconstructing turbulent flows around aircraft | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Turbulent flowsTurbulent flows | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Uncertainty | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Data assimilation | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Optimization | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
加藤, 博司
× 加藤, 博司× 吉澤, 徴× 上野, 玄太× 大林, 茂× Kato, Hiroshi× Yoshizawa, Akira× Ueno, Genta× Obayashi, Shigeru |
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著者所属 | ||||||
宇宙航空研究開発機構(JAXA) | ||||||
著者所属 | ||||||
宇宙航空研究開発機構(JAXA) | ||||||
著者所属 | ||||||
統計数理研究所 | ||||||
著者所属 | ||||||
東北大学流体科学研究所 | ||||||
著者所属(英) | ||||||
en | ||||||
Japan Aerospace Exploration Agency (JAXA) | ||||||
著者所属(英) | ||||||
en | ||||||
Japan Aerospace Exploration Agency (JAXA) | ||||||
著者所属(英) | ||||||
en | ||||||
The Institute of Statistical Mathematics | ||||||
著者所属(英) | ||||||
en | ||||||
Institute of Fluid Science, Tohoku University | ||||||
出版者(英) | ||||||
出版者 | Elsevier | |||||
書誌情報 |
en : Journal of Computational Physics 巻 283, p. 559-581, 発行日 2015-02-15 |
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抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | This paper proposes a new approach for the study of complex turbulent flows of aeronautics that integrates experimental fluid dynamics (EFD), employing methods such as wind tunnel experiments, and computational fluid dynamics (CFD) by using a data assimilation technique. The approach aims at representing complex turbulent flows more properly than conventional EFD and CFD approaches by estimating the proper angle of attack, the proper Mach number, and the proper turbulent viscosity, which are the three uncertainty factors in EFD and CFD. To this end, the ensemble transform Kalman filter (ETKF), a sequential advanced data assimilation method, is employed for the estimation and applied to transonic flows around the RAE 2822 airfoil (two-dimensional flow) and transonic flows around the ONERA M6 wing (three-dimensional flow). The results computed using the angles of attack, Mach numbers, and turbulent viscosities estimated by the ETKF diminish the discrepancies between the results of standard computations and experiments. These findings show the effectiveness of this approach, which combines EFD and CFD using data assimilation to represent complex turbulent flows. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0021-9991 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA00696013 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | http://dx.doi.org/10.1016/j.jcp.2014.12.013 | |||||
関連名称 | info:doi/10.1016/j.jcp.2014.12.013 | |||||
資料番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 資料番号: PA1520003000 |