STIRRING AND MIXING BY GRID-GENERATED TURBULENCE IN THE PRESENCE OF A MEAN SCALAR GRADIENT

S. Laizet, J. Vassilicos
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引用次数: 1

Abstract

The stirring and mixing of a passive scalar by gridgenerated turbulence in the presence of a mean scalar gradient is studied in three dimensions by DNS (Direct Numerical Simulation). Using top-end high fidelity computer simulations, we calculate and compare the effects of various fractal and regular grids on scalar transfer and turbulent diffusion efficiencies. We demonstrate the existence of a new mechanism present in turbulent flows generated by multiscale/fractal objects and which has its origin in the multiscale/fractal space-scale structure of such turbulent flow generators. As a result of this space-scale unfolding (SSU) mechanism, fractal grids can enhance scalar transfer and turbulent diffusion by one order of magnitude while at the same time reduce pressure drop by half. The presence of this SSU mechanism when turbulence is generated by fractal grids means that the spatial distribution of length-scales unfolds onto the streamwise extent of the flow and gives rise to a variety of wake-meeting distances downstream. This SSU mechanism must be playing a decisive role in environmental, atmospheric, ocean and river transport processes wherever turbulence originates from multiscale/fractal objects such as trees, forests, mountains, rocky river beds and coral reefs. It also ushers in the new concept of fractal design of turbulence which may hold the power of setting entirely new mixing and cooling industrial standards.
在平均标量梯度存在的情况下,由网格产生的湍流引起的搅拌和混合
采用直接数值模拟的方法研究了在平均标量梯度存在的情况下,网格湍流对被动标量的搅拌和混合。利用高端高保真计算机模拟,我们计算并比较了各种分形网格和规则网格对标量传递和湍流扩散效率的影响。我们证明了在多尺度/分形物体产生的湍流中存在一种新的机制,这种机制的起源是这种湍流发生器的多尺度/分形空间尺度结构。由于这种空间尺度展开机制,分形网格可以将标量传递和湍流扩散提高一个数量级,同时将压降降低一半。当湍流由分形网格产生时,这种SSU机制的存在意味着长度尺度的空间分布在流动的流向上展开,并产生下游各种尾迹相遇距离。无论湍流源自多尺度/分形物体,如树木、森林、山脉、岩石河床和珊瑚礁,这种SSU机制都必须在环境、大气、海洋和河流运输过程中发挥决定性作用。它还引入了湍流分形设计的新概念,这可能会设定全新的混合和冷却工业标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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