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Wing Shape Optimization Using Local Response Surface Approximations, Space Mapping and Physics-Based Surrogates

机译:使用局部响应曲面逼近,空间映射和基于物理的替代方法优化机翼形状

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A simple yet efficient method for shape optimization of aircraft wings is presented. Our approach replaces the direct optimization of an expensive high-fidelity computational fluid dynamics (CFD) wing model by an iterative procedure consisting of updating and re-optimization of a fast surrogate model. The surrogate is constructed using low-fidelity aerodynamic models and an output space mapping correction. For the sake of computational efficiency, the surrogate is optimized using auxiliary response surface models. As a result, an improved design of the wing can be obtained at a very low cost corresponding to a few evaluations of the high-fidelity CFD wing model, even though no sensitivity information is used. Our technique is demonstrated using a simple example of a rectangular unswept wing. In this example, the high-fidelity CFD wing model is a steady-state Reynolds-averaged Navier-Stokes analysis with the Spalart-Allmaras turbulence model, whereas the low-fidelity aerodynamic model is based on two-dimensional CFD airfoil simulations.
机译:提出了一种用于飞机机翼形状优化的简单而有效的方法。我们的方法通过包含更新和重新优化快速替代模型的迭代过程,代替了昂贵的高保真计算流体力学(CFD)机翼模型的直接优化。使用低保真空气动力学模型和输出空间映射校正来构造替代项。为了提高计算效率,使用辅助响应曲面模型对代理进行了优化。结果,即使不使用灵敏度信息,也可以以极低的成本获得机翼的改进设计,这与对高保真CFD机翼模型的一些评估相对应。我们通过一个简单的矩形后掠机翼示例演示了我们的技术。在此示例中,高保真CFD机翼模型是采用Spalart-Allmaras湍流模型的稳态雷诺平均Navier-Stokes分析,而低保真空气动力学模型基于二维CFD机翼仿真。

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