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首页> 外文期刊>Inverse Problems in Science and Engineering >A semi-coupled solution algorithm in aerodynamic inverse shape design
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A semi-coupled solution algorithm in aerodynamic inverse shape design

机译:空气动力学逆造型设计中的半耦合求解算法

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The numerical solution of an inverse airfoil design problem requires computational tools for grid generation, flow solution and the geometry update to provide the desirable shape corresponding to a given surface target pressure. Un-coupled as well as fully and semi-coupled shape design strategies have already been developed and employed. The target pressure is directly imposed in the fully coupled approach in contrast to un-coupled methods. Available semi-coupled methods use additional computational tools to couple the flow solver and the shape updater to directly impose the target pressure. In this article, a semi-coupled numerical shape design strategy is introduced, in the context of an ideal flow model, in which the target tangential velocity is directly imposed while no additional computational tool is employed. Numerical test cases, implemented on both structured and unstructured grids, are carried out to compare the performance of the proposed method with an adjoint-based optimization technique. Results show that the semi-coupled method has a two to three times faster convergence rate as compared to the adjoint approach. However, the semi-coupled solution convergence rate usually stalls after three orders of magnitude reduction of the objective function, while the un-coupled optimization method provides a more accurate solution. Therefore, a hybrid solution methodology is also advised, which provides faster convergence as well as lower computational errors as compared to both semi and un-coupled methods.
机译:逆翼型设计问题的数值解需要用于网格生成,流动解和几何形状更新的计算工具,以提供与给定表面目标压力相对应的理想形状。非耦合以及完全和半耦合形状设计策略已得到开发和采用。与非耦合方法相反,目标压力是在完全耦合方法中直接施加的。可用的半耦合方法使用其他计算工具来耦合流量求解器和形状更新器以直接施加目标压力。在本文中,在理想流动模型的背景下,介绍了一种半耦合数值形状设计策略,其中直接施加目标切向速度,而无需使用任何其他计算工具。进行了在结构化和非结构化网格上均进行的数值测试,以比较该方法与基于伴随的优化技术的性能。结果表明,与伴随方法相比,半耦合方法的收敛速度快两到三倍。但是,半耦合解的收敛速度通常在目标函数降低三个数量级后停顿,而非耦合优化方法则提供了更精确的解。因此,还建议使用混合解决方案方法,与半耦合和非耦合方法相比,该方法可提供更快的收敛性和更低的计算误差。

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