Most numerical schemes proposed for solving BGK models for rarefied gas dynamics are based on the discrete velocity approximation. Since such approach uses fixed velocity grids, one must secure a sufficiently large domain with fine velocity grids to resolve the structure of distribution functions. When one treats high Mach number problems, the computational cost becomes prohibitively expensive. In this paper, we propose a velocity adaptation technique in the semi-Lagrangian framework for BGK model. The velocity grid will be set locally in time and space, according to mean velocity and temperature. We apply a weighted minimization approach to impose conservation. We presented several numerical tests that illustrate the effectiveness of our proposed scheme.
翻译:为解决稀有气体动态的BGK模型而提出的大多数数字计划都是以离散速度近似为基础,由于这种方法使用固定速度网格,人们必须保证一个足够大、具有精细速度网格的域,以解决分配功能的结构。当人们处理高马赫数问题时,计算成本就变得太高了。在本文中,我们建议对BGK模型采用半拉格兰加框架采用速度适应技术。速度网格将按平均速度和温度在本地设定时间和空间。我们采用加权最小化方法来实施保护。我们提出了数个数字测试,以说明我们提议的计划的有效性。