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针对不确定因素引起的翼型气动性能波动现象,探讨了翼型几何形状随机不确定波动对翼型气动特性的影响,并进行了减小此影响的鲁棒优化设计。引入类别形状函数变换(CST)方法可以大大降低设计变量自由度数目,以NACA0012翼型为例,进行了考虑翼型几何形状随机扰动的气动不确定性分析,发现几何形状的微小波动对升力特性影响很小。发展了一种基于响应面和遗传算法的鲁棒优化设计方法,能够高效的减小阻力及其波动的影响。计算结果显示尽管相对于确定性优化结果鲁棒优化阻力略有增加,但波动更小,气动性能具有更好的鲁棒性。
Aiming at the aerodynamic performance fluctuation of airfoil caused by uncertain factors, the influence of random uncertain airfoil fluctuation on the aerodynamic characteristics of the airfoil is discussed, and the robust optimization design to reduce this effect is discussed. The introduction of the CST method can greatly reduce the number of degrees of freedom of the design variables. Taking the NACA0012 airfoil as an example, the aerodynamic uncertainty analysis considering the random disturbance of the aerofoil geometry is found. It is found that the slight fluctuation of the geometry affects the lift characteristics Little effect. A robust optimization design method based on response surface and genetic algorithm is developed, which can effectively reduce the influence of resistance and its fluctuation. The calculated results show that although the robust optimization resistance increases slightly with respect to the deterministic optimization results, the fluctuation is smaller and the aerodynamic performance has better robustness.