Quantification of amplitude modulation in wall-bounded turbulence

雷诺数 湍流 滤波器(信号处理) 振幅 比例(比率) 调制(音乐) 有界函数 调幅 大涡模拟 航程(航空) 流量(数学) 数学 物理 统计物理学 机械 数学分析 声学 频率调制 计算机科学 光学 电信 带宽(计算) 复合材料 计算机视觉 材料科学 量子力学
作者
Eda Doğan,Ramis Örlü,Davide Gatti,Ricardo Vinuesa,Philipp Schlatter
出处
期刊:Fluid Dynamics Research [IOP Publishing]
卷期号:51 (1): 011408-011408 被引量:63
标识
DOI:10.1088/1873-7005/aaca81
摘要

Abstract Many recent investigations on the scale interactions in wall-bounded turbulent flows focus on describing so-called amplitude modulation, the phenomenon that deals with the influence of large scales in the outer region on the amplitude of the small-scale fluctuations in the near-wall region. The present study revisits this phenomenon regarding two aspects, namely the method for decomposing the scales and the quantification of the modulation. First, the paper presents a summary of the literature that has dealt with either or both aspects. Second, for decomposing the scales, different spectral filters (temporal, spatial or both) and empirical mode decomposition (EMD) are evaluated and compared. The common data set is a well-resolved large-eddy simulation that offers a wide range of Reynolds numbers spanning Re θ = 880–8200. The quantification of the amplitude modulation is discussed for the resulting scale components. Particular focus is given to evaluate the efficacy of the various filters to separate scales for the range of Reynolds numbers of interest. Different to previous studies, the different methods have been evaluated using the same data set, thereby allowing a fair comparison between the various approaches. It is observed that using a spectral filter in the spanwise direction is an effective approach to separate the small and large scales in the flow, even at comparably low Reynolds numbers, whereas filtering in time should be approached with caution in the low-to-moderate Re range. Additionally, using filters in both spanwise and time directions, which would separate both wide and long-living structures from the small and fast scales, gives a cleaner image for the small-scales although the contribution to the scales interaction from that filter implementation has been found negligible. Applying EMD to decompose the scales gives similar results to Fourier filters for the energy content of the scales and thereby for the quantification of the amplitude modulation using the decomposed scales. No direct advantage of EMD over classical Fourier filters could be seen. Potential issues regarding different decomposition methods and different definitions of the amplitude modulation are also discussed.
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