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遺伝的プログラミングを利用したボルツマン方程式衝突項の近似モデル探索
https://jaxa.repo.nii.ac.jp/records/46352
https://jaxa.repo.nii.ac.jp/records/46352e2616265-bafb-4c11-9eda-20ebce8b3832
名前 / ファイル | ライセンス | アクション |
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AA1930011011.pdf (942.0 kB)
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2020-02-04 | |||||
タイトル | ||||||
タイトル | 遺伝的プログラミングを利用したボルツマン方程式衝突項の近似モデル探索 | |||||
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 | Search for Approximate Model of Collision Term in Boltzmann Equation by Genetic Programming | |||||
著者 |
服部, 篤樹
× 服部, 篤樹× 鈴木, 宏二郎× Hattori, Atsuki× Suzuki, Kojiro |
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著者所属 | ||||||
東京大学 | ||||||
著者所属 | ||||||
東京大学 | ||||||
著者所属(英) | ||||||
en | ||||||
The University of Tokyo | ||||||
著者所属(英) | ||||||
en | ||||||
The University of Tokyo | ||||||
出版者 | ||||||
出版者 | 宇宙航空研究開発機構(JAXA) | |||||
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51回流体力学講演会/第37回航空宇宙数値シミュレーション技術シンポジウム論文集 en : JAXA Special Publication: Proceedings of the 51st Fluid Dynamics Conference / the 37th Aerospace Numerical Simulation Symposium 巻 JAXA-SP-19-007, p. 141-147, 発行日 2020-02-04 |
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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 | 第51回流体力学講演会/第37回航空宇宙数値シミュレーション技術シンポジウム (2019年7月1日-3日. 早稲田大学早稲田キャンパス国際会議場), 新宿区, 東京 | |||||
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 | 51st Fluid Dynamics Conference / the 37th Aerospace Numerical Simulation Symposium (July 1-3, 2019. International Conference Center, Waseda University), Shinjuku-ku, Tokyo, Japan | |||||
抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | The machine learning approach for exploring the approximate analytical description for the collision term in the Boltzmann equation is presented in this paper. Such approximate model is expected to significantly accelerate the numerical simulation of rarefied gas flows without severe degradation in the accuracy. The combination of a genetic programming (GP) method and a nonlinear least square method was adopted for the exploring. Training data was a solution of Direct Simulation Monte Carlo (DSMC) method, which is a stochastic method for rarefied gas dynamics. Considering the separation of the collision term from the translational term in the Boltzmann equation, we only solved the molecular collision by the DSMC method. The numerical solution of the obtained approximate model exhibited almost precise model. But there was still unphysical behavior in the profile of the velocity distribution function. It is suggested that GP may produce the equation including terms with numerical instability and that some restriction should be applied to assure the numerical stability as well as the physical accuracy at the exploring by GP. | |||||
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 | |||||
ISSNONLINE | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2433-2232 | |||||
資料番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 資料番号: AA1930011011 | |||||
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-19-007 |