Wall-attached structures of velocity fluctuations in a turbulent boundary layer
Abstract
Wall turbulence is a ubiquitous phenomenon in nature and engineering application, yet predicting such turbulence is difficult due to its complexity. High-Reynolds-number turbulence, which includes most practical flows, is particularly complicated because of its wide range of scales. Although the attached-eddy hypothesis postulated by Townsend can be used to predict turbulence intensities and serves as a unified theory for the asymptotic behaviors of turbulence, the presence of attached structures has not been confirmed.Here, we demonstrate the logarithmic region of turbulence intensity by identifying wall-attached structures of velocity fluctuations () through direct numerical simulation of a moderate-Reynolds-number boundary layer (). The wall-attached structures are self-similar with respect to their heights (), and in particular the population density of the streamwise component () scales inversely with , which is reminiscent of the hierarchy of attached eddies. The turbulent intensities contained within the wall-parallel components ( and ) exhibit the logarithmic behavior. The tall attached structures () of are composed of multiple uniform momentum zones (UMZs) with a long streamwise extent, whereas those of the cross-stream components ( and ) are relatively short with a comparable width, suggesting the presence of tall vortical structures associated with multiple UMZs. The magnitudes of the near-wall peak observed in the streamwise turbulent intensity increase with increasing , reflecting nested hierarchies of the attached structures. These findings suggest that the identified structures are prime candidates for Townsend's attached-eddy hypothesis and serve as cornerstones for understanding the multiscale phenomena of high-Reynolds-number boundary layers.
Keywords
Cite
@article{arxiv.1804.11068,
title = {Wall-attached structures of velocity fluctuations in a turbulent boundary layer},
author = {Jinyul Hwang and Hyung Jin Sung},
journal= {arXiv preprint arXiv:1804.11068},
year = {2018}
}
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34 pages