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Aerodynamic Design of the RAE 2822 in Transonic Viscous Flow: Single- and Multi-Objective Optimization Studies

机译:跨音速粘性流中RAE 2822的空气动力学设计:单目标和多目标优化研究

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This paper addresses a benchmark aerodynamic design problem proposed by the AIAA Aerodynamic Design Optimization Discussion Group: Drag minimization of the RAE 2822 in transonic viscous flow at a fixed lift coefficient with constraints on the pitching moment coefficient and the cross-sectional area. The single-objective optimization (SOO) problem is solved using surrogate-based optimization (SBO) with the surrogates constructed through output space mapping and variable-resolution Reynolds-Averaged Navier-Stokes computational fluid dynamics models. Improving the implementation of our search algorithms enabled us to obtain the SOO optimal design four times faster than in our prior work in terms of CPU time. To explore the design space in the vicinity of the SOO optimal design, the problem is recast as a multi-objective optimization (MOO) one by treating the drag and pitching moment coefficients as the objectives while fulfilling the given constraints on the lift coefficient and the cross-sectional area. The MOO algorithm yields the Pareto front of the two conflicting objective functions in close proximity of the design obtained by the SOO formulation in the feasible and infeasible space of the original SOO problem.
机译:本文解决了由AIAA空气动力学设计优化讨论小组提出的基准空气动力学设计问题:跨音速粘性流中RAE 2822的阻力最小化,且具有固定的升力系数,并限制了俯仰力矩系数和横截面积。使用基于代理的优化(SBO)来解决单目标优化(SOO)问题,该代理具有通过输出空间映射和可变分辨率Reynolds平均Navier-Stokes计算流体动力学模型构建的代理。通过改进搜索算法的实现,就CPU时间而言,我们可以比以前的工作快四倍地获得SOO最佳设计。为了探索SOO最佳设计附近的设计空间,通过将阻力系数和俯仰力矩系数作为目标,同时满足给定的升力系数和升力约束,将问题重塑为多目标优化(MOO)。横截面面积。 MOO算法在原始SOO问题的可行和不可行空间中,与SOO公式获得的设计非常接近,产生了两个相互冲突的目标函数的Pareto前沿。

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