基于几何不确定性的翼型多目标稳健优化设计

MULTI OBJECTIVE OPTIMIZATION METHODOLOGY FOR AIRFOIL ROBUST DESIGN UNDER GEOMETRY UNCERTAINTY

提出在优化设计进程中引进基于各种不确定性波动的稳健优化设计思想,进行多目标进化优化算法与代理模型技术在稳健优化设计中的应用研究.提供翼型确定性优化和稳健性优化实例,并对结果进行对比,结果表明该稳健优化设计方法可以得到更有实际应用价值的翼型气动外形.

Traditionally,aerodynamic shape optimization has focused on obtaining the best design given the requirements and flow conditions.However,the manufacturing accuracy of the optimal shape is depends on the available manufacturing technology and other factors,such as manufacturing cost.It is imperative that the performance of the optimal design is retained when the component shape differs from the optimal shape due to manufacturing tolerances and normal wear and tear.These requirements naturally lead to the idea of robust optimal design wherein the concept of robustness to various perturbations is built into the design optimization procedure.Here we demonstrate how both multi-objective evolutionary algorithm and surrogate model can be used to achieve robust optimal designs.Test cases include the deterministic optimization and robust design of airfoils,and the results were compared.It was shown that the present robust aerodynamic shape optimization method is a useful tool to design the more practical airfoil for air vehicles.