Tohoku University Graduate School of Engineering
Tohoku University Graduate School of Engineering
Tohoku University Graduate School of Engineering
Tohoku University Graduate School of Engineering
National Aerospace Laboratory
出版者
航空宇宙技術研究所
出版者(英)
National Aerospace Laboratory (NAL)
雑誌名
航空宇宙技術研究所特別資料
雑誌名(英)
Special Publication of National Aerospace Laboratory
巻
44
ページ
275 - 280
発行年
1999-12
会議概要(会議名, 開催地, 会期, 主催者等)
航空宇宙技術研究所 16-18 Jun. 1999 東京 日本
会議概要(会議名, 開催地, 会期, 主催者等)(英)
National Aerospace Laboratory 16-18 Jun. 1999 Tokyo Japan
This paper describes the design optimization of a wing for Supersonic Transport (SST) using Multi-Objective Genetic Algorithm (MOGA). The objective functions are to minimize the drag for transonic cruise, the drag for supersonic cruise and the bending moment at the wing root for supersonic cruise. The wing shape is defined by planform and warp shapes in total of 66 design variables. An Euler code is used to evaluate supersonic performance, and a potential code is used to evaluate transonic performance. To reduce enormous total calculation time, the CFD (Computational Fluid Dynamics) calculations are parallelized on NEC SX-4 (32PE) at Computer Center of Tohoku University. The Pareto optimal solutions are obtained in the three-dimensional objective function space by the present approach. The resulting Pareto solutions identify that arrow wing configuration is one of the important factors for the wing performance.