Influence of irregular three-dimensional rough surfaces on the roughness function

被引:0
作者
Scandura, Pietro [1 ]
机构
[1] Univ Catania, Dept Civil Engn & Architecture, Via Santa Sofia 64, I-95123 Catania, Italy
关键词
turbulence simulation; PARAMETRIC FORCING APPROACH; FLOW; STRESS; DRAG;
D O I
10.1017/jfm.2025.61
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The influence of irregular three-dimensional rough surfaces on the displacement of the logarithmic velocity profile relative to that of a smooth wall in turbulent flow, known as the roughness function, is studied using direct numerical simulations. Five different surface power spectral density (PSD) shapes were considered, and for each, several rough Gaussian surfaces were generated by varying the root mean square ( $k_{rms}$ ) of the surface heights. It is shown that the roughness function ( $\Delta U<^>{+}$ ) depends on both the PSD and $k_{rms}$ . For a given $k_{rms}$ , $\Delta U<^>{+}$ increases as the wavenumbers of the PSD expand to large values, but at a rate that decreases with the magnitude of the wavenumbers. Although $\Delta U<^>{+}$ generally does not scale with either $k_{rms}$ or the effective slope $ES$ when these variables are considered singularly, for PSDs with low wavenumbers, $\Delta U<^>{+}$ tends to scale with $ES$ , whereas as wavenumbers increase, $\Delta U<^>{+}$ tends to scale with $k_{rms}$ . An equivalent Nikuradse sand roughness of about eight times $k_{rms}$ is found, which is similar to that observed in previous studies for a regular three-dimensional roughness. Finally, it is shown that $k_{rms}$ and the effective slope are sufficient to describe the roughness function in the transitional rough regime.
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页数:17
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共 41 条
  • [31] Stewart M.T., Stuart M.C., Nikora V.I., Zampiron A., Marusic I., Hydraulic resistance in open-channel flows over self affine rough beds, J. Hydraul. Res., 57, 2, pp. 183-196, (2019)
  • [32] Thakkar M., Busse A., Sandham N., Surface correlations of hydrodynamic drag for transitionally rough engineering surfaces, J. Turbul., 18, 2, pp. 138-169, (2017)
  • [33] Thakkar M., Busse A., Sandham N.D., Direct numerical simulation of turbulent channel flow over a surrogate for Nikuradse-type roughness, J. Fluid Mech., 837, (2018)
  • [34] Turcotte D.L., Fractal and Chaos in Geology and Geophysics, (1997)
  • [35] Van Rijn L.C., Equivalent roughness of alluvial bed, J. Hydraul Div. ASCE, 108, 10, pp. 1215-1218, (1982)
  • [36] Whiting P.J., Dietrich W.E., Boundary shear stress and roughness over mobile alluvial beds, J. Hydraul. Engng ASCE, 116, 12, pp. 1495-1511, (1990)
  • [37] Yang J., Stroh A., Chung D., Forooghi P., Direct numerical simulation-based characterization of pseudo-random roughness in minimal channels, J. Fluid Mech., 941, (2022)
  • [38] Yang J., Stroh A., Lee S., Bagheri S., Frohnapfel B., Forooghi P., Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - A data-driven approach, J. Fluid Mech., 975, (2023)
  • [39] Yang X.I.A., Zhang W., Yuan J., Kunz R.F., In search of a universal rough wall model, J. Fluids Engng, 145, 10, (2023)
  • [40] Yuan J., Piomelli U., Estimation and prediction of the roughness function on realistic surfaces, J. Turbul., 15, 6, pp. 350-365, (2014)