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arXiv physics/0206013physics.flu-dyn
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拉格朗日动力学中的长时间相关:turbulence中的一个关键

Long time correlations in Lagrangian dynamics: a key to intermittency in turbulence

N. Mordant, J. Delour, E. Leveque, A. Arneodo, J. -F. Pinton

摘要:

如果人们从流体质点的角度(称为拉格朗日方法)而不是从速度场的角度(欧拉观点)考虑流动运动,就会发现湍流的新方面。使用一种新的实验技术,基于超声波的散射,我们已经获得了直接测量的颗粒速度,解决了在所有尺度上,在一个完全湍流。它使我们能够从动力学的角度来接近湍流中的不稳定性,并在随机游走的框架内分析拉格朗日速度波动。我们发现实验中的基本步骤的“行走”有随机不相关的方向,但幅度是非常长的范围内的时间相关。从理论上讲,我们研究了朗之万方程,结合这些功能,我们表明,所产生的动态占所观察到的一个和两个点的统计特性的拉格朗日速度波动。我们的方法将湍流的间歇性统计性质与流动的动力学联系起来。

英文摘要:

New aspects of turbulence are uncovered if one considers flow motion from the perspective of a fluid particle (known as the Lagrangian approach) rather than in terms of a velocity field (the Eulerian viewpoint). Using a new experimental technique, based on the scattering of ultrasounds, we have obtained a direct measurement of particle velocities, resolved at all scales, in a fully turbulent flow. It enables us to approach intermittency in turbulence from a dynamical point of view and to analyze the Lagrangian velocity fluctuations in the framework of random walks. We find experimentally that the elementary steps in the 'walk' have random uncorrelated directions but a magnitude that is extremely long-range correlated in time. Theoretically, we study a Langevin equation that incorporates these features and we show that the resulting dynamics accounts for the observed one- and two-point statistical properties of the Lagrangian velocity fluctuations. Our approach connects the intermittent statistical nature of turbulence to the dynamics of the flow.

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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