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A numerical approach for shape optimization of fluid flow domains

机译:流体流动域形状优化的数值方法

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A numerical method for the shape optimization of fluid flow domains is presented and analyzed. The procedure is based on a flow solver, a mathematical optimization tool, and a technique for shape variation, which are combined into an integrated procedure. The flow solver relies on the discretization of the incompressible Navier-Stokes equations by means of the finite-volume method for block-structured, boundary-fitted grids with multi-grid acceleration. The optimization tool is an implementation of a trust region based derivative-free method. It is designed to minimize smooth functions whose evaluations are considered expensive and whose derivatives are not available or not desirable to approximate. The shape variation is obtained by deforming the computational grid employed by the flow solver. For this purpose, displacement fields scaled by the design variables are added to the initial grid. The displacement vectors are computed once before starting the optimization cycle by using a free-form deformation technique. Applications illustrating the functionality and the properties of the method are presented for some examples of engineering interest, such as the minimization of a pressure drop, the maximization of a lift force, and the optimization of a wall temperature.
机译:提出并分析了一种用于流体流域形状优化的数值方法。该过程基于流求解器,数学优化工具和形状变化技术,它们被组合为一个集成过程。流动求解器依靠有限体积方法对不可压缩的Navier-Stokes方程进行离散化,该方法适用于具有多网格加速度的块结构边界拟合网格。优化工具是基于信任区域的无导数方法的实现。它被设计为最小化平滑函数,这些平滑函数的评估被认为是昂贵的,并且其导数不可用或不希望近似。通过使流动求解器采用的计算网格变形来获得形状变化。为此,将按设计变量缩放的位移场添加到初始网格。在开始优化循环之前,通过使用自由形式的变形技术来计算一次位移向量。提出了说明该方法的功能和特性的应用,以提供一些工程方面的兴趣,例如最小化压降,最大提升力以及优化壁温。

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