基于遗传算法及转捩模型的层流翼型优化设计研究

Optimization Design of Laminar Flow Airfoil Based on Genetic Algorithm and Transition Model

讨论了层流翼型对飞机机翼减阻的重要意义,概述了遗传算法的优化原理及其特点。在基准翼型的基础上,以Hicks—Henne型函数的解析函数线性叠加法来描述翼型。采用遗传算法完成了层流翼型优化设计。计算中采用了转捩模型耦合SST两方程湍流模式,通过求解雷诺平均的N-S方程组模拟了翼型的转捩流动。对计算结果进行了分析,分析表明优化翼型在升力特性、阻力特性方面比基准翼型有很大的提升,达到了优化升阻比的目标。

In this paper,the significance of using laminar flow airfoil to reduce aircraft wing drag has been discussed. An overview of genetic algorithm optimization principle and its characteristic has been summerized. On the basis of baseline airfoil,target airfoil can be described using linear superposition of analytical function of Hicks-Henne shape function and sorted out by using genetic algorithm. transition model coupled with SST two-equation turbulence model with solving Reynolds Averaged Navier-Stokes( RANS...