Zanoun ES, Bauer C, Wagner C, Durst F, Egbers C, Bellani G, Talamelli A (2025)
Publication Type: Journal article
Publication year: 2025
DOI: 10.1080/14685248.2025.2560314
The dependence of turbulence statistics and wall friction on Reynolds number in fully developed turbulent pipe flow remains a fundamental subject in fluid mechanics. This paper cross-validates experimental and numerical results, focusing on the scaling of turbulence statistics at the pipe centerline and across the inner-outer flow region. Pipe flow experiments were reviewed for friction Reynolds numbers (Formula presented.), where (Formula presented.), (Formula presented.) is the wall friction velocity, (Formula presented.) the pipe radius, and (Formula presented.) the kinematic viscosity. Complementary DNS data for (Formula presented.) provide detailed insight into near-wall turbulence. A novel friction correlation, (Formula presented.) is introduced, predicting pipe-wall friction across a wide range of (Formula presented.) with accuracy better than (Formula presented.), where (Formula presented.) is the Reynolds number based on the centerline streamwise mean velocity component (Formula presented.). This correlation enables reliable friction estimates from centerline single-point measurements or DNS data without requiring near-wall or streamwise pressure-gradient information and is validated by consistent agreement with both experiments and DNS. The monotonic decrease in centerline turbulence intensity (Formula presented.) with increasing (Formula presented.) is explained using the streamwise mean momentum equation. Finally, azimuthal spatial filtering of DNS data highlights the limitations of hot-wire resolution near the wall. For (Formula presented.), higher-order experimental statistics agree well with DNS for (Formula presented.) and into the logarithmic region, with both datasets equally well described by logarithmic or power-law correlations, while near-wall discrepancies remain due to resolution limits.
APA:
Zanoun, E.S., Bauer, C., Wagner, C., Durst, F., Egbers, C., Bellani, G., & Talamelli, A. (2025). Cross-validation of numerical and experimental data in turbulent pipe flow with new scaling correlations. Journal of Turbulence. https://doi.org/10.1080/14685248.2025.2560314
MLA:
Zanoun, El Sayed, et al. "Cross-validation of numerical and experimental data in turbulent pipe flow with new scaling correlations." Journal of Turbulence (2025).
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