Presentation 1999/5/28
Design Optimization of the Next Generation SST Using Genetic Algorithms
Shigeru Obayashi, Naoki Hirose,
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Abstract(in English) 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 the enormous total calculation time, the CFD ca1culations 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. One of the Pareto solutions is found to outperform an existing design based on the linearied theory.
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Keyword(in English) Wings and Airfoil Sections / Aerodynamic Optimization / Evolutionary Computation
Paper # AI99-18
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Committee AI
Conference Date 1999/5/28(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Design Optimization of the Next Generation SST Using Genetic Algorithms
Sub Title (in English)
Keyword(1) Wings and Airfoil Sections
Keyword(2) Aerodynamic Optimization
Keyword(3) Evolutionary Computation
1st Author's Name Shigeru Obayashi
1st Author's Affiliation Department of Aeronautics and Space Engineering, Tohoku University()
2nd Author's Name Naoki Hirose
2nd Author's Affiliation Computational Science Division, National Aerospace Laboratory
Date 1999/5/28
Paper # AI99-18
Volume (vol) vol.99
Number (no) 96
Page pp.pp.-
#Pages 7
Date of Issue