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Computational Elements for High-fidelity Aerodynamic Analysis and Design Optimisation

机译:高保真空气动力学分析和设计优化的计算元素

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The study reviews the role of computational fluid dynamics (CFD) in aerodynamic shape optimisation, and discusses some of the efficient design methodologies.The article in the first part, numerical schemes required for high-fidelity aerodynamic flow analysis are discussed.To accurately resolve high-speed flow physics, high-fidelity shock-stable schemes as well as intelligent limiting strategy mimicking multi-dimensional flow physics are essential.Exploiting these numerical schemes, some applications for 3-D internal/external flow analyses were carried out with various grid systems which enable the treatment of complex geometries.In the second part, depending on the number of design variables and the way to obtain sensitivities or design points, several global and local optimisation methods for aerodynamic shape optimisation are discussed.To avoid the problem that solutions of gradient-based optimisation method, (GBOM) are often trapped in local optimum, remedy by combining GBOM with global optimum strategy, such as surrogate models and genetic algorithm (GA) has been examined.As an efficient grid deformation tool, grid deformation technique using NURBS function is discussed.Lastly, some 3-D examples for aerodynamic shape optimisation works based on the proposed design methodology are presented.
机译:这项研究回顾了计算流体动力学(CFD)在空气动力学形状优化中的作用,并讨论了一些有效的设计方法。在第一部分中,文章讨论了高保真空气动力学流动分析所需的数值方案。高速流物理学,高保真冲击稳定方案以及模仿多维流物理学的智能限制策略至关重要。利用这些数值方案,在各种网格系统中进行了3D内部/外部流分析的一些应用。在第二部分中,根据设计变量的数量以及获得灵敏度或设计点的方式,讨论了几种用于空气动力学形状优化的全局和局部优化方法。基于梯度的优化方法(GBOM)通常被困在局部最优中,通过结合GBOM和gl研究了替代模型和遗传算法(GA)等最优的优化策略。作为一种有效的网格变形工具,讨论了使用NURBS函数的网格变形技术。最后,在此基础上提出了一些3D空气动力学形状优化实例。介绍了设计方法。

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