边界层过渡中间歇性极端事件的实验观测

IF 2.7 3区 数学 Q1 MATHEMATICS, APPLIED
G. Balamurugan , S.S. Gopalakrishnan , A.C. Mandal
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引用次数: 0

摘要

极端事件的一个基本特征是概率分布函数的非高斯性质,这在物理学的各个分支中得到了广泛的研究。具体来说,具有两倍于有效波高(衡量背景状态)的振幅的事件被定性为极端事件。在这里,我们发现在受自由流湍流影响的平板边界层中,层流-湍流过渡期间也有类似的事件。在过渡过程中,观察到自发的间歇性湍流波动,其振幅是背景状态显著波高的两倍。利用热线风速法量化了极端事件在过渡过程中的概率分布函数,揭示了极端事件整体上的长尾非高斯性质,这是极端事件的基本特征。极端波动的空间结构表明它们是由热线和时间分辨粒子图像测速技术同时测量得到的大振幅空间局域结构。这种高强度空间局域湍流波动的发生概率随着自由流速度的增加而增加。虽然边界层过渡期间的间歇性现象已被广泛研究,但本工作的目的是建立其与其他物理领域预测的极端事件的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An experimental observation of intermittent extreme events in boundary layer transition

An experimental observation of intermittent extreme events in boundary layer transition
One of the fundamental characteristics of an extreme event, which has been widely studied in diverse branches of physics, is the non-Gaussian nature of the probability distribution function. Specifically events which have amplitudes that are twice the significant wave height, which is a measure of the background state, are characterized as extreme events. Here we find a parallel of this event during the laminar–turbulent transition in a flat-plate boundary layer subjected to freestream turbulence. During the transition process spontaneous intermittent turbulent fluctuations are observed with amplitudes twice the significant wave height of the background state. The probability distribution function of events during the transition process is quantified using hotwire anemometry revealing a long-tail non-Gaussian nature as a whole, which is a fundamental characteristic of extreme events. The spatial structure of extreme fluctuation shows that they are large amplitude spatially localized structures which were obtained from simultaneous measurements made using hot-wire and time-resolved particle image velocimetry techniques. The probability of occurrence of such high intensity spatially localized turbulent fluctuations increases with the freestream velocity. Though the phenomenon of intermittency during boundary layer transition has been extensively studied, the objective of the present work is to establish its similarities to extreme events predicted in other fields of physics.
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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