格子Boltzmann方法
物理
多边形网格
惯性参考系
雷诺数
稳健性(进化)
网格
碰撞
应用数学
重心坐标系
经典力学
统计物理学
机械
算法
拓扑(电路)
计算机科学
几何学
数学
生物化学
化学
计算机安全
组合数学
湍流
基因
作者
Hyunwoo Yoo,Meïssam L. Bahlali,Julien Favier,Pierre Sagaut
出处
期刊:Physics of Fluids
[American Institute of Physics]
日期:2021-05-01
卷期号:33 (5)
被引量:20
摘要
Simulating rotating geometries in fluid flows for industrial applications remains a challenging task for general fluid solvers and in particular for the lattice Boltzmann method (LBM) due to inherent stability and accuracy problems. This work proposes an original method based on the widely used overset grids (or Chimera grids) while being integrated with a recent and optimized LBM collision operator, the hybrid recursive regularized model (HRR). The overset grids are used to actualize the rotating geometries where both the rotating and fixed meshes exist simultaneously. In the rotating mesh, the fictitious forces generated from its non-inertial rotating reference frame are taken into account by using a second order discrete forcing term. The fixed and rotating grids communicate with each other through the interpolation of the macroscopic variables. Meanwhile, the HRR collision model is selected to enhance the stability and accuracy properties of the LBM simulations by filtering out redundant higher order non-equilibrium tensors. The robustness of the overset HRR algorithm is assessed on different configurations, undergoing mid-to-high Reynolds number flows, and the method successfully demonstrates its robustness while exhibiting the second order accuracy.
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