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A Nonlinear Subgrid Stabilization Parameter-Free Method to Solve Incompressible Navier-Stokes Equations at High Reynolds Numbers

机译:解高雷诺数下不可压缩的Navier-Stokes方程的非线性子网格稳定无参数方法

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In this work we evaluate a Nonlinear Subgrid Stabilization parameter-free method to solve time-independent incompressible Navier-Stokes equations (NSGS-NS) at high Reynolds numbers, considering only the decomposition of the velocity field (not pressure) into coarse/resolved scales and fine/unresolved scales. In this formulation we use a dynamic damping factor which it is often essential for the nonlinear iterative process and for the reduction of the number of iterations. In order to reduce the computational costs typical of two-scale methods, the unresolved scale space is defined using bubble functions whose degrees of freedom are locally eliminated in favor of the degrees of freedom that live on the resolved scales. Accuracy comparisons with the streamline-upwind/Petrov-Galerkin (SUPG) formulation combined with the pressure stabilizing/Petrov-Galerkin (PSPG) are conducted based on 2D steady state benchmark problems with high Reynolds numbers, flow over a backward-facing step and lid-driven square cavity flow.
机译:在这项工作中,我们评估了非线性无子网格稳定的无参数方法,以解决高雷诺数下与时间无关的不可压缩Navier-Stokes方程(NSGS-NS),仅考虑了速度场(而非压力)分解为粗略/可分辨的尺度和精细/未解决的音阶。在此公式中,我们使用动态阻尼因子,该因子通常对于非线性迭代过程和减少迭代次数必不可少。为了减少典型的两尺度方法的计算成本,使用气泡函数定义了未解析的尺度空间,该气泡函数的自由度被局部消除,有利于存在于分辨尺度上的自由度。基于具有高雷诺数,流经后向台阶和盖的二维稳态基准问题,进行了流线上风/ Petrov-Galerkin(SUPG)配方与压力稳定/ Petrov-Galerkin(PSPG)组合的精度比较驱动方腔流动。

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