Scaling of global properties of fluctuating and mean streamwise velocities in pipe flow: Characterization of a high Reynolds number transition region

被引:5
作者
Basse, Nils T. [1 ]
机构
[1] Trubadurens Vag 8, S-42341 Torslanda, Sweden
关键词
TURBULENT SHEAR FLOWS; SMOOTH; LAWS; INTENSITY; FRICTION;
D O I
10.1063/5.0054769
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
We study the global, i.e., radially averaged, high Reynolds number (asymptotic) scaling of streamwise turbulence intensity squared defined as I 2 = u 2 <overbar></mml:mover> / U 2, where u and U are the fluctuating and mean velocities, respectively (overbar is time averaging). The investigation is based on the mathematical abstraction that the logarithmic region in wall turbulence extends across the entire inner and outer layers. Results are matched to spatially integrated Princeton Superpipe measurements [Hultmark et al., "Logarithmic scaling of turbulence in smooth- and rough-wall pipe flow," J. Fluid Mech. 728, 376-395 (2013)]. Scaling expressions are derived both for log- and power-law functions of radius. A transition to asymptotic scaling is found at a friction Reynolds number R e tau similar to 11 <mml:mo> 000.
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页数:14
相关论文
共 35 条
[1]   New power-law scaling for friction factor of extreme Reynolds number pipe flows [J].
Anbarlooei, H. R. ;
Cruz, D. O. A. ;
Ramos, F. .
PHYSICS OF FLUIDS, 2020, 32 (09)
[2]  
[Anonymous], 2021, ANSYS FLUENT USERS G, P1190
[3]   SCALING LAWS FOR FULLY-DEVELOPED TURBULENT SHEAR FLOWS .2. PROCESSING OF EXPERIMENTAL-DATA [J].
BARENBLATT, GI ;
PROSTOKISHIN, VM .
JOURNAL OF FLUID MECHANICS, 1993, 248 :521-529
[4]   SCALING LAWS FOR FULLY-DEVELOPED TURBULENT SHEAR FLOWS .1. BASIC HYPOTHESES AND ANALYSIS [J].
BARENBLATT, GI .
JOURNAL OF FLUID MECHANICS, 1993, 248 :513-520
[5]  
Basse N.T., 2021, ARXIV200711383
[6]   Turbulence Intensity Scaling: A Fugue [J].
Basse, Nils T. .
FLUIDS, 2019, 4 (04)
[7]  
Basse NT, 2017, FLUIDS, V2, DOI 10.3390/fluids2020030
[8]   Reynolds number scaling of the peak turbulence intensity in wall flows [J].
Chen, Xi ;
Sreenivasan, Katepalli R. .
JOURNAL OF FLUID MECHANICS, 2021, 908
[9]   Deep learning velocity signals allow quantifying turbulence intensity [J].
Corbetta, Alessandro ;
Menkovski, Vlado ;
Benzi, Roberto ;
Toschi, Federico .
SCIENCE ADVANCES, 2021, 7 (12)
[10]  
Davidson P.A., 2004, TURBULENCE AN INTRO