The research of robust supercritical airfoil design optimization

Airfoil optimization design system is built, based on the standard genetic algorithm, RBF neural network and the class functions / shape function distortion technology. The thrice CST method which has four design variables is utilized to parameterize the upper and lower shape of the airfoil. Then the optimal airfoil design of a typical aircraft is done on condition that the design index is given. The aerodynamic optimization under the state of cruise and the robust airfoil shape optimization on the basis of Mach number average distribution under Monte Carlo analysis are studied. The results show that the aerodynamic characteristics of the optimized airfoil has improved significantly.