REYNOLDS-NUMBER SCALING OF TURBULENT CHANNEL FLOW
By M. Schultz, K. Flack. Proceeding of Eighth International Symposium on Turbulence and Shear Flow Phenomena, 2013
195 citations recorded by the source corpus.
Results of an experimental study of smooth-wall, fully developed, turbulent channel flow are presented. The Reynolds number (Rem) based on the channel height and the bulk mean velocity ranged from 10 000 to 300 000. The present results indicate that the skin-friction coefficient (Cf) closely follows a power law for Rem < 62 000. At higher Reynolds numbers, Cf is best described by a log law. Detailed two-component velocity measurements taken at friction Reynolds numbers of Reτ = 1000–6000 indicate that the mean flow and Reynolds shear stress display little or no Reynolds-number dependence. The streamwise Reynolds normal stress (u′2¯+), on the other hand, varies significantly with Reynolds number. The inner peak in u′2¯+ is observed to grow with Reynolds number. Growth in u′2¯+ farther from the wall is documented over the entire range of Reynolds number giving rise to a plateau in the streamwise Reynolds normal stress in the overlap region of the profile for Reτ = 6000. The wall-normal Reynolds normal stres...
Subfields: Computational Mechanics, Mechanical Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/2faabd8073a9c5f516ae00f5e7322f630d740826
How researchers see this paper
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In Computational Mechanics
- B. McKeon
- Ati S. Sharma
- Myoungkyu Lee
- Rashad Moarref
- Joel A. Tropp
- Marcelo Perlin
- Robert D. Moser
- S. Ceccio
In Mechanical Engineering
- Myoungkyu Lee
- Robert D. Moser
- B. McKeon
- S. Ceccio
- Joel A. Tropp
- Ati S. Sharma
- Rashad Moarref
- Ugo Piomelli
In Ocean Engineering
- S. Ceccio
- Ati S. Sharma
- Marcelo Perlin
- Joel A. Tropp
- Myoungkyu Lee
- Rashad Moarref
- Ugo Piomelli
- B. McKeon
Citations in the corpus
- Direct numerical simulation of turbulent channel flow up to $\mathit{Re}_{{\it\tau}}\approx 5200$ (2014, methodology): “Finally, experimental data from laser Doppler velocimetry measurements at two Reynolds numbers (Reτ = 4048 and 5895, SF4000 and SF6000 respectively) are reported by Schultz & Flack (2013) and are also included here for comparison.”
- Estimation and prediction of the roughness function on realistic surfaces (2014, methodology): “The smooth-wall profile in the current LES collapses with the experimental data obtained by Schultz and Flack [31].”
- Characterization of superhydrophobic surfaces for drag reduction in turbulent flow (2018, background): “The friction on the two side walls was neglected due to their small areas and negligible influence on the mean flow properties at the centre of the channel (Zanoun, Nagib & Durst 2009; Schultz & Flack 2013).”
- Model-based scaling of the streamwise energy density in high-Reynolds-number turbulent channels (2013, methodology): “Note that the data of Monty (2005) and the data of Schultz & Flack (2013) at Reτ = 6000 are not fully spatially resolved near the wall.”