Pressure statistics and their scaling in high-Reynolds-number turbulent boundary layers
Pressure fluctuations are an important ingredient in turbulence, e.g. in the pressure strain terms which redistribute turbulence among the different fluctuating velocity components. The variation of the pressure fluctuations inside a turbulent boundary layer has hitherto been out of reach of experim...
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Published in | Journal of fluid mechanics Vol. 585; pp. 1 - 40 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge, UK
Cambridge University Press
25.08.2007
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Subjects | |
Online Access | Get full text |
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Summary: | Pressure fluctuations are an important ingredient in turbulence, e.g. in the pressure strain terms which redistribute turbulence among the different fluctuating velocity components. The variation of the pressure fluctuations inside a turbulent boundary layer has hitherto been out of reach of experimental determination. The mechanisms of non-local pressure-related coupling between the different regions of the boundary layer have therefore remained poorly understood. One reason for this is the difficulty inherent in measuring the fluctuating pressure. We have developed a new technique to measure pressure fluctuations. In the present study, both mean and fluctuating pressure, wall pressure, and streamwise velocity have been measured simultaneously in turbulent boundary layers up to Reynolds numbers based on the momentum thickness Rθ ≃ 20000. Results on mean and fluctuation distributions, spectra, Reynolds number dependence, and correlation functions are reported. Also, an attempt is made to test, for the first time, the existence of Kolmogorov's -7/3 power-law scaling of the pressure spectrum in the limit of high Reynolds numbers in a turbulent boundary layer. |
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Bibliography: | istex:4474CD663AEB7547DF25372CF99AC498849BEA16 ark:/67375/6GQ-PG3C3LFB-2 ArticleID:00607 PII:S0022112007006076 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 0022-1120 1469-7645 1469-7645 |
DOI: | 10.1017/S0022112007006076 |