Multiobjective Aerodynamic Optimization of Supersonic Wings Using Navier-Stokes Equations

The design optimization of a wing for supersonic transport by means of Multiobjective Genetic Algorithm (MOGA) is presented. The objective function is to minimize the drag for transonic cruise, the drag for supersonic cruise and the bending moment at the wing root for the supersonic condition. The wing shape is defined by planform, thickness distributions and warp shapes, in total of 66 design variables. A Navier-Stokes code is used to evaluate the aerodynamic performance at both cruise conditions. CFD computations are parallelized by a simple master-slave concept on FUJITSU VPP-700E supercomputer system at The Institute of Physical and Chemical Research. Consequently, the Pareto solutions are obtained in the three-dimensional objective function space. The resultant Pareto solutions are compared with the wing designed by National Aerospace Laboratory as well as the optimal wing obtained previously under the inviscid flow. Daisuke Sasaki, Shigeru Obayashi, Keisuke Sawada and Ryutaro Himeno 2