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arXiv 2406.13680physics.flu-dynmath-phmath.MPphysics.ao-ph
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沉降对壁面约束流动中惯性颗粒滑移速度统计特性的影响

Effects of settling on inertial particle slip velocity statistics in wall bounded flows

Andrew P. Grace, David Richter, Tim Berk, Andrew D. Bragg

AI总结:

本研究通过统计框架推导壁面湍流中沉降惯性颗粒滑移速度矩的连续方程,结合直接数值模拟明确滑移方差的主导机制,对比现有加速度方差模型并分析误差来源,为大气粗尘输运建模提供参考。

摘要:

开发湍流中固体颗粒输运的降阶模型通常需要对颗粒-湍流相互作用进行统计描述。在本研究中,我们利用一个统计框架推导了湍流边界层中具有沉降特性的惯性拉格朗日颗粒的滑移速度矩的连续方程。随后,我们采用耦合的欧拉-拉格朗日直接数值模拟,识别了控制滑移速度方差的主导机制,并发现在一定范围的St+、Sv+和Re条件下,滑移方差主要由“所见”方差与颗粒速度方差之间的局部差异控制,而由湍流不均匀性产生的项在Sv+变大之前处于次要地位。我们还采用了若干对比指标来评估脉动滑移速度与平均滑移速度的相对大小,发现垂直平均滑移速度随Sv+快速增大,使得方差相对较小——这一效应在Sv+>1时最为显著。最后,我们将结果与Berk和Coletti(2021)提出的加速度方差模型进行了对比,该模型基于Csanady(1963)提出的响应函数概念,我们的分析凸显了交叉轨迹机制的作用。研究发现,尽管在低Sv+下两者吻合良好,但仍存在系统误差,这可能是由快速颗粒沉降和非均匀湍流带来的隐含非局部效应导致的。我们最后讨论了本研究对大气表层粗尘颗粒输运建模的启示。

英文摘要:

Developing reduced order models for the transport of solid particles in turbulence typically requires a statistical description of the particle-turbulence interactions. In this work, we utilize a statistical framework to derive continuum equations for the moments of the slip velocity of inertial settling Lagrangian particles in a turbulent boundary layer. Using coupled Eulerian-Lagrangian direct numerical simulations, we then identify the dominant mechanisms controlling the slip velocity variance, and find that for a range of St+, Sv+, and Re, the slip variance is primarily controlled by local differences between the "seen" variance and the particle velocity variance, while terms appearing due to the inhomogeneity of the turbulence are sub-leading until Sv+ becomes large. We also consider several comparative metrics to assess the relative magnitudes of the fluctuating slip velocity and the mean slip velocity, and we find that the vertical mean slip increases rapidly with Sv+, rendering the variance relatively small -- an effect found to be most substantial for Sv+>1. Finally, we compare the results to a model of the acceleration variance Berk and Coletti (2021) based the concept of a response function described in Csanady (1963), highlighting the role of the crossing trajectories mechanism. We find that while there is good agreement for low Sv+, systematic errors remain, possibly due to implicit non-local effects arising from rapid particle settling and inhomogeneous turbulence. We conclude with a discussion of the implications of this work for modeling the transport of coarse dust grains in the atmospheric surface layer.

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