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Topology optimization for incompressible viscous fluid flow using the lattice kinetic scheme

机译:使用晶格动力学方案的不可压缩粘性流体流的拓扑优化

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摘要

This paper presents a topology optimization method for flow channel design using the lattice kinetic scheme (LKS). LKS is a numerical scheme merging the lattice Boltzmann method with the kinetic scheme for solving the incompressible Navier-Stokes equations. In the lattice Boltzmann method, the discrete distribution functions for every grid in the analysis domain need to be stored to compute the flow field, while in the LKS, only the flow velocities and the densities are stored, and thus requiring less storage. Moreover, in the LKS, the macroscopic boundary conditions in terms of the velocity and the pressure can be imposed directly rather than considering the bounce-back boundary condition against the distribution function. In this study, the optimization is performed based on the gradient of the objective functional with respect to the design variables and the design sensitivity is computed by the adjoint variable method. Both the forward and the adjoint problems are solved using the LKS. The validity of the design sensitivity is verified by comparing it with the finite difference approximation of objective functional. Numerical examples of solving two-dimensional flow channel design problems are presented to demonstrate the proposed method.
机译:本文介绍了使用晶格动力学方案(LKS)流动通道设计的拓扑优化方法。 LKS是用动力学方案合并Lattice Boltzmann方法的数值方案,用于求解不可压缩的Navier-Stokes方程。在格子Boltzmann方法中,需要存储分析域中每个网格的离散分布函数,以计算流场,而在LKS中仅存储流速和密度,因此需要更少的存储。此外,在LKS中,可以直接施加速度和压力方面的宏观边界条件,而不是考虑反冲反向边界条件。在该研究中,基于对设计变量的目标函数的梯度来执行优化,并且通过伴随变量方法计算设计灵敏度。使用LKS解决了向前和伴随问题。通过将其与客观函数的有限差异近似进行比较来验证设计灵敏度的有效性。提出了求解二维流动通道设计问题的数值示例以展示所提出的方法。

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