Abstract
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 calculations are parallelized on NEC SX-4 (32 PE) 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.
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