首页> 外文期刊>Bulletin of the American Physical Society >APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - The Role of Law-of-the-Wall and Roughness Scale in the Surface Stress Model for LES of the Rough-wall Boundary Layer.
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APS -70th Annual Meeting of the APS Division of Fluid Dynamics- Event - The Role of Law-of-the-Wall and Roughness Scale in the Surface Stress Model for LES of the Rough-wall Boundary Layer.

机译:APS-流体动力学APS部门第70届年会-事件-壁厚边界层LES的壁面粗糙度模型中的壁面法则和壁面尺度的作用。

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Large-eddy simulation (LES) of the high Reynolds number rough-wall boundary layer requires both a subfilter-scale model for the unresolved inertial term and a ``surface stress model'' (SSM) for space-time local surface momentum flux. Standard SSMs assume proportionality between the local surface shear stress vector and the local resolved-scale velocity vector at the first grid level. Because the proportionality coefficient incorporates a surface roughness scale $z_{0}$ within a functional form taken from law-of-the-wall (LOTW), it is commonly stated that LOTW is ``assumed,'' and therefore ``forced'' on the LES. We show that this is not the case; the LOTW form is the ``drag law'' used to relate friction velocity to mean resolved velocity at the first grid level consistent with $z_{0}$ as the height where mean velocity vanishes. Whereas standard SSMs do not force LOTW on the prediction, we show that parameterized roughness does not match ``true'' $z_{0}$ when LOTW is not predicted, or does not exist. By extrapolating mean velocity, we show a serious mismatch between true $z_{0}$ and parameterized $z_{0}$ in the presence of a spurious ``overshoot'' in normalized mean velocity gradient. We shall discuss the source of the problem and its potential resolution.
机译:高雷诺数粗糙壁边界层的大涡模拟(LES)既需要用于未解析惯性项的子滤波器规模模型,也需要用于时空局部表面动量通量的``表面应力模型''(SSM)。标准SSM在第一个网格级别上假设局部表面剪应力矢量与局部分辨尺度速度矢量之间成比例。由于比例系数在取自墙面法则(LOTW)的函数形式中结合了表面粗糙度标度$ z_ {0} $,因此通常认为LOTW是``假定的'',因此是``强制的''在LES上。我们证明事实并非如此。 LOTW形式是``拖曳定律'',用于将摩擦速度与第一网格级别的平均分解速度相关联,并与平均速度消失的高度$ z_ {0} $一致。尽管标准SSM不会在预测中强制使用LOTW,但我们表明当未预测或不存在LOTW时,参数化粗糙度不匹配``真实''$ z_ {0} $。通过外推平均速度,我们发现在归一化平均速度梯度中存在虚假``过冲''的情况下,真实$ z_ {0} $与参数化$ z_ {0} $之间存在严重的不匹配。我们将讨论问题的根源及其潜在的解决方案。

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