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A filtered-wall formulation for large-eddy simulation of wall-bounded turbulence

机译:用于大涡模拟壁面湍流的过滤壁公式

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摘要

Simulating high Reynolds number wall-bounded turbulence using large-eddy simulation (LES) requires modeling the subgrid force in the bulk of the flow and instantaneous viscous and pressure stresses at the wall. Here, LES of turbulent channel flow is conducted at Re-tau=590 using a filtered-wall formulation, in which a buffer region with u=0 is attached adjacent to the wall, and the underlying velocity field defined over the extended domain is filtered using a nonlocal filter (in this case, a Fourier cutoff filter) in all directions. The instantaneous wall stress is computed by first prescribing a target velocity field for the filtered velocity inside the buffer and then minimizing the error between the actual and target velocity at every time step. The optimal LES (OLES) approach is used to model the subgrid force in terms of the resolved velocity field via linear stochastic estimation. The correlations required to carry out this stochastic estimation are computed from direct numerical simulation (DNS). Results of the LES simulation show reasonable agreement with filtered DNS statistics. Also, simulations performed after introducing modifications to the linear OLES kernel show that the positive eigenvalues in the kernel and the skew-symmetric part of the kernel play important roles in LES of wall-bounded turbulence.
机译:使用大涡模拟(LES)模拟高雷诺数的壁面湍流需要对大部分流动中的子网格力以及壁上的瞬时粘性压力和压力应力进行建模。在这里,湍流通道的LES在Re-tau = 590时使用过滤壁公式进行,其中u = 0的缓冲区域与壁相邻连接,并且对在扩展域上定义的基础速度场进行了过滤在所有方向上使用非局部滤波器(在这种情况下为傅立叶截止滤波器)。通过首先为缓冲液内部的过滤速度指定目标速度场,然后在每个时间步长最小化实际速度和目标速度之间的误差,来计算瞬时壁应力。最优LES(OLES)方法用于通过线性随机估计根据解析速度场对次网格力进行建模。根据直接数值模拟(DNS)计算执行此随机估计所需的相关性。 LES模拟的结果与过滤后的DNS统计数据显示出合理的一致性。此外,在对线性OLES核进行修改后进行的仿真表明,核中的正特征值和核的偏斜对称部分在壁边界湍流的LES中起着重要作用。

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