Further observations on the mean velocity distribution in fully developed pipe flow

By B. McKeon, Jun-de Li, W. Jiang, J. Morrison, Alexander J Smits. Journal of Fluid Mechanics, 2004

302 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/c7aa379ea607caa31d6d40ea7631cc3385afbe64

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Citations in the corpus

The rough-wall turbulent boundary layer from the hydraulically smooth to the fully rough regime (2006, methodology): “Roughness function results, U determined using the log constants of McKeon et al. (2004), uncertainty in U = ± 10% or 0.”
On coherent structure in wall turbulence (2013, methodology): “The turbulent mean profiles for the higher Reynolds number were determined directly from experimental data from the Princeton/ONR Superpipe and reported by McKeon et al. (2004). Unless stated otherwise, all results shown here will be for Re = 75× 10(3) (R = Duτ/(2ν) = 1800), where uτ = √ τw/ρ is the”
A critical-layer framework for turbulent pipe flow (2010, methodology): “60 (McKeon et al. 2004) and C ≈ 2 (McKeon, Zagarola & Smits 2005), so a = 0.”
Roughness effects in turbulent pipe flow (2006, methodology): “The pipe surface roughness was designed to be geometrically similar to the surface used by Zagarola & Smits (1998) and McKeon et al. (2004) while preserving a low krms/D.”
On the logarithmic region in wall turbulence (2013, background): “The value of κ = 0.421 reported by McKeon et al. (2004) in the Superpipe probably exceeds these bounds, and the possible reasons for differences between Pitot tube and hot-wire mean-velocity measurements are the subject of ongoing study.”
Scaling of the velocity fluctuations in turbulent channels up to Reτ=2003 (2006, background): “The best-known proposal involves wall-parallel large-scale modes that reach the wall without being constrained by impermeability (Townsend 1976). It was suggested by Del Álamo & Jiménez (2003), on the basis of lower-Reynolds-number simulations, that the important outer modes were global ones spannin”
A direct numerical simulation study on the mean velocity characteristics in turbulent pipe flow (2008, methodology): “McKeon et al. (2004a) also confirmed that the effect from surface roughness in the Princeton Superpipe data is negligible.”
Friction factors for smooth pipe flow (2004, background): “The Princeton (Zagarola & Smits 1998; McKeon et al. 2004a; McKeon, Zagarola & Smits 2004b) and Oregon (Swanson et al. 2002) research groups have recently examined fully developed pipe flow using very different apparatus.”
Turbulent boundary layer statistics at very high Reynolds number (2015, methodology): “For example, examinations of pipe flow have reported mean flow data at values of Reτ as high as 530 000 (Zagarola & Smits 1998; McKeon et al. 2004), where Reτ is the friction Reynolds number, with turbulence data at values up to 98 000 (Hultmark et al. 2012, 2013; Rosenberg et al. 2013).”
Scaling of the streamwise velocity component in turbulent pipe flow (2004, methodology): “Using an improved data analysis, McKeon et al. (2004) have recently confirmed that complete similarity in the form of a log law (with slightly modified constants) occurs for R+ > 5 × 103 only, in the range 600 <y+ < 0.12R+.”
A new friction factor relationship for fully developed pipe flow (2005, methodology): “Since Zagarola & Smits (1998) proposed that for lower Reynolds numbers the mean velocity profile was wellrepresented by a power law and McKeon et al. (2004) refined the constants to give a relationship very similar to that used by Blasius below 98 × 103, excellent agreement in the friction factor…”
High–Reynolds Number Wall Turbulence (2011, background): “The Princeton Superpipe measurements (Zagarola & Smits 1998, McKeon et al. 2004) came under particular scrutiny, but a large number of new experiments in fully developed channel flows (Liu et al. 2001; Zanoun et al. 2003, 2009; Monty et al. 2007) and turbulent boundary layers (George & Castillo…”