A comparative study of near-wall turbulence in high and low Reynolds number boundary layers

By M. Metzger, J. Klewicki. 2001

270 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/729c02541b271650198e1a1fe5d60e5a58e7397a

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Citations in the corpus

Model-based scaling of the streamwise energy density in high-Reynolds-number turbulent channels (2013, methodology): “…the available experiments are performed at relatively small friction Reynolds numbers, Reτ ≈ O(104), with a notable exception of the atmospheric surface layer measurements of, e.g., Metzger & Klewicki (2001) (Reτ ≈ O(106)) that are in turn generally contami- nated by surface roughness effects.”
A predictive inner–outer model for streamwise turbulence statistics in wall-bounded flows (2011, methodology): “This trend for the skewness had previously been reported by Metzger & Klewicki (2001), indicating a significant structural change in the near-wall region as Reynolds number increased.”
The engine behind (wall) turbulence: perspectives on scale interactions (2017, background): “The strength of the spectral signature of the VLSMs increases with increasing Reynolds number and is known to be the reason for the increasing streamwise variance near the wall and lack of inner scaling of the nearwall turbulence peak (e.g. Metzger & Klewicki 2001; Hutchins & Marusic 2007).”
Streamwise turbulence intensity formulation for flat-plate boundary layers (2003, background): “7 Metzger and Klewicki considered data from laboratory and smooth wall atmospheric surface layer studies at the SLTEST facility on Utah’s salt ﬂats.”
A parametric study of adverse pressure gradient turbulent boundary layers (2011, methodology): “A similar conjecture was made by Metzger and Klewicki (2001) who compared low Reynolds number laboratory data with that from a high Reynolds number atmospheric surface layer.”
Simulations of Spatially Evolving Turbulent Boundary Layers up to Reθ = 4300 (2010, background): “In particular, the maximum wall-normal value of urms is constantly increasing with Re as shown in e.g. Metzger and Klewicki (2001); Marusic and Kunkel (2003), as well as in channel-flow simulation results.”
The large-scale dynamics of near-wall turbulence (2002, unknown): “Metzger & Klewicki (2001) compared spectra at y+ = 15 in two boundary layers with Reθ = 2000 and 5 × 106, and found a substantial excess of low-frequency energy in the latter with respect to the former.”
Large-scale influences in near-wall turbulence (2007, background): “By low-pass ﬁltering the u signal at z C Z 15 of a high Reynolds number boundary layer, Metzger & Klewicki (2001) show that the additional energy in the near-wall streamwise ﬂuctuations originates from low-wavenumber events.”
High–Reynolds Number Wall Turbulence (2011, background): “…can be viewed either as an amplitude modulation effect or a preferred spatial phase relationship between the two, and it seems to provide an explanation for changing the sign of skewness in u beyond the buffer region as the Reynolds number increases (Marusic et al. 2010b; Metzger & Klewicki 2001).”
Scaling of the streamwise velocity component in turbulent pipe flow (2004, methodology): “Using data from the atmospheric surface layer for which Reθ ≈ 5 × 106, Metzger & Klewicki (2001) show that the near-wall peak does increase without any apparent indication of an asymptote.”
Cascades in Wall-Bounded Turbulence (2012, result): “That is confirmed by laboratory experiments (deGraaff & Eaton 2000), simulations (Hoyas & Jiménez 2006), and atmospheric observations (Metzger & Klewicki 2001, Kunkel & Marusic 2006).”
A comparison of turbulent pipe, channel and boundary layer flows (2009, background): “Contrarily, Monty et al. (2007) and Hutchins & Marusic (2007b) found significant structural differences between pipes/channels and boundary layers even in the logarithmic region, based on spanwise structure. Characterization of the longest energetic modes in wall-turbulence has featured prominently ”