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arXiv 2212.03040physics.flu-dyn
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具有平滑涨落的二维剪切流中的混合

Mixing in two-dimensional shear flow with smooth fluctuations

Nikolay A. Ivchenko, Vladimir V. Lebedev, Sergey S. Vergeles

AI总结:

本文研究含平滑随机涨落的二维主导剪切流中被动标量混合,通过单点矩与相关函数刻画衰减和持续强迫两种情形的强间歇性,并给出对相关函数性质及短时间相关模型的定量结果。

摘要:

流速的混沌变化通过增强搅拌而加快标量场的混合。本文研究在规则剪切流中、相对于其背景存在随机涨落时,被动标量场混合的统计性质。我们考虑剪切分量强于平滑涨落的二维流动。这种流动被认为可用于模拟被动标量混合,例如二维湍流中形成的大尺度相干涡内部,或微通道内弹性湍流中的混合。我们考察了衰减情形以及对标量方差进行连续强迫的情形。在两种情形下,动力学都表现出强间歇性,这可通过本文计算的单点矩和相关函数来表征。我们给出了对相关函数的一般定性性质,以及在时间上短相关的涨落模型框架内得到的若干定量结果。

英文摘要:

Chaotic variations in flow speed up mixing of scalar fields via intensified stirring. This paper addresses the statistical properties of a passive scalar field mixing in a regular shear flow with random fluctuations against its background. We consider two-dimensional flow with shear component dominating over smooth fluctuations. Such flow is supposed to model passive scalar mixing e.g. inside a large-scale coherent vortex forming in two-dimensional turbulence or in elastic turbulence in a micro-channel. We examine both the decaying case and the case of the continuous forcing of the scalar variances. In both cases dynamics possesses strong intermittency, that can be characterized via the single-point moments and correlation functions calculated in our work. We present general qualitative properties of pair correlation function as well as certain quantitative results obtained in the framework of the model with fluctuations that are short correlated in time.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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