Aerodynamic Shape Optimization of a Three-Dimensional Wing by Genetic Algorithm.
スポンサーリンク
概要
- 論文の詳細を見る
A Genetic Algorithm (GA) has been applied to optimize a wing aerodynamic shape for generic subsonic transportation aircraft. A three-dimensional compressible Navier-Stokes (N-S) solver is used to evaluate aerodynamic performance of a wing. Although a GA has proved its ability to solve hard optimization problems, a GA coupled with a three-dimensional N-S solver has not been done yet because it needs large computational time even on the latest supercomputer. To overcome this difficulty, Numerical Wind Tunnel at National Aerospace Laboratory, a parallel vector machine with 166 processing elements, was used. In the optimum design obtained from the present GA, the design principles for the wing developed by existing theory and experience are found to be realized. This indicates feasibility of the present approach for the aerodynamic optimization in advanced computational environment.
- 社団法人 日本航空宇宙学会の論文
社団法人 日本航空宇宙学会 | 論文
- エレクトロダイナミックテザーへの適用に関するプラズマコンタクタの電子放出・収集特性
- 低電力DCアークジェットのアノード劣化機構に関する研究
- マイクロ波放電型中和器の電子放出機構
- 回帰学習による逐次予測を用いた宇宙機の適応的リミットチェック
- パルスデトネーションエンジン用入口流体駆動バルブに関する研究