基于遗传算法的翼型气动优化设计

Aerodynamic Optimization Design of Airfoil Based on Genetic Algorithm

采用遗传算法进行跨声速翼型的反设计与阻力和升阻比的优化设计。翼型的反设计达到了设计要求 ,优化设计后的翼型其气动特性也有显著的改善 ,这表明了遗传算法应用于翼型气动优化设计的可行性。在优化设计的过程中 ,翼型由解析函数线形叠加法表示 ,目标函数和个体的适应值由二维欧拉方程的流场解来提供。

The paper presented here demonstrates the application of genetic algorithm on inverse design and wave drag reduction and lift to drag ratio optimization design of transonic airfoil. Designed airfoil by inverse method is successful to attain the design requirement and optimized airfoils have a considerable improvement on aerodynamic performance, show the feasibility of genetic algorithm applied on aerodynamic optimization design. During the course of aerodynamic optimization design, geometric shape of airfoil is represented by linear combination of analytical functions, and objective function and fitness of every individual are provided by flow solver of two dimensional Euler equations.