On the logarithmic region in wall turbulence

By Ivan Marusic, Jason Monty, Marcus Hultmark, Alexander J Smits. Journal of Fluid Mechanics, 2013

734 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/dbe417c201fa502438dca5f18f12b2dab9895cfe

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Citations in the corpus

Direct numerical simulation of turbulent channel flow up to $\mathit{Re}_{{\it\tau}}\approx 5200$ (2014, methodology): “This has been observed experimentally for streamwise (Kunkel & Marusic 2006; Winkel et al. 2012; Hultmark et al. 2012; Hutchins et al. 2012; Marusic et al. 2013) and spanwise components (Fernholz & Finley 1996; Morrison et al.”
REYNOLDS-NUMBER SCALING OF TURBULENT CHANNEL FLOW (2013, methodology): “Recently, Marusic et al. (2013) proposed that the log constants are indeed universal among flow types based on analysis of high Reynolds number pipe and boundary layer data, with = 0.39 and A = 4.3.”
Colour of turbulence (2016, background): “5 which correspond to the streamwise propagation speed c = ω/kx of structures that reside in the middle of the logarithmic region (Marusic et al. 2013) and the peak of PSD (not shown here), respectively.”
Turbulent boundary layer statistics at very high Reynolds number (2015, background): “The slope appears to be very similar in boundary layer and pipe flows, as found by Marusic et al. (2013) (who used A1 = 1.26), but for boundary layers there seems to be some variation with Reynolds number in the additive constant.”
Coherent structures in wall-bounded turbulence (2017, result): “Both predictions have been confirmed observationally: by numerical simulations in the case of u3 (Jiménez & Hoyas 2008), and experimentally in the case of u1 (Marusic et al. 2013).”
The engine behind (wall) turbulence: perspectives on scale interactions (2017, background): “…and in self-similar scaling of the mean momentum balance (Klewicki et al. 2007), and has been proposed to govern the inner limit of the log law that develops for both the mean velocity and the streamwise variance (Marusic et al. 2012) (the outer limit remains defined in outer-scaled variables).”
Velocity statistics in turbulent channel flow up to $Re_{\tau }=4000$ (2014, background): “At this Reynolds number, no clear range with logarithmic variation of the streamwise velocity variance is observed, as predicted by the attached eddy hypothesis (Townsend 1961; Perry & Li 1990), and for which experiments in boundary layers and pipes at much higher Reynolds number suggest (Marusic et”
Spectral analysis of the budget equation in turbulent channel flows at high Reynolds number (2018, background): “s, they are not \attached eddies." Several experimental studies have found that hu02i+ at very high Re ˝ (say Re˝ > 20000) decreases logarithmically with yfor y+ >3Re1=2 ˝ and y=<0:15 (Marusic et al. 2013; Hultmark et al. 2013). Even for the R5200 case, this would imply a very short ra”
Comparison of turbulent boundary layers over smooth and rough surfaces up to high Reynolds numbers (2016, methodology): “Additionally, the slope of the logarithmic regions of the rough-wall streamwise mean velocities and turbulence intensities agree within experimental uncertainty to those found above smooth walls (Marusic et al. 2013).”
Comparison of wind farm large eddy simulations using actuator disk and actuator line models with wind tunnel experiments (2018, background): “2 with the theoretical estimates for the mean [43].”
Uniform momentum zones in turbulent boundary layers (2014, background): “Therefore, these parameters can be chosen such that the mean streamwise velocity profile in the logarithmic region satisfies U Uτ = 1 κ log(z+)+ A, (B 7) where κ = 0.39 (Kármán constant) and A= 4.3 (log-law intersect), following Marusic et al. (2013).”
Evolution of zero-pressure-gradient boundary layers from different tripping conditions (2015, background): “For the logarithmic region the u2/U2τ profiles appear to reasonably well follow the logarithmic behaviour u2 U2τ = B1 − A1 ln(z/δ), (3.1) as most recently discussed in Marusic et al. (2013), with A1= 1.26 and B1= 1.95.”