Estimation of turbulent convection velocities and corrections to Taylor's approximation

By J. D. Álamo, Javier Jiménez. Journal of Fluid Mechanics, 2009

374 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/1ff0570e4cd39e49b3b43709da9c7045ff26884f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

In Environmental Engineering

In Mechanical Engineering

Citations in the corpus

High‐order discontinuous Galerkin spectral element methods for transitional and turbulent flow simulations (2014, background): “Recently, del Alamo and Jiménez [71] analysed the approximation for channel flow and found that while small-scale fluctuations are transported with the local mean velocity close to the wall, for larger long-wavelength structures, the advection velocity is close to the bulk velocity.”
Eulerian and Lagrangian views of a turbulent boundary layer flow using time-resolved tomographic PIV (2011, background): “In a numerical work from del Alamo and Jiménez (2009), they found that only the smallest eddies follow the local mean and provide a semi-empiric law for pointwise measurement techniques like HWA or LDA that counts for the deviation effects of different wavelength and s.c. global modes, which…”
Direct numerical simulation of turbulent channel flow up to $\mathit{Re}_{{\it\tau}}\approx 5200$ (2014, methodology): “Indeed, in the HJ2000 simulation, it was found that the streamwise spatial spectrum did not display a lowwavenumber peak, while a spectrum determined from a time series did (Del Álamo & Jiménez 2009).”
Turbulent boundary layers and channels at moderate Reynolds numbers (2010, background): “A comparison between the experimental frequency spectra in boundary layers and the numerical wavenumber spectra in channels can be found in del Álamo & Jiménez (2009) and in Hoyas & Jiménez (2008).”
High–Reynolds Number Wall Turbulence (2011, background): “This concept was extended by del Álamo & Jiménez (2009), whose formulation requires only local derivatives of the Fourier coefficients in time or space to obtain a distribution of convection velocities in (kx, kz, ω) space (see also the commentary by Moin 2009).”
Time-resolved evolution of coherent structures in turbulent channels: characterization of eddies and cascades (2012, neutral): “On the other hand, these results are not entirely consistent with those of del Álamo & Jiménez (2009), who showed that large structures with wavelengths λx& 2h advect at all heights with the bulk velocity of the mean profile, including near the wall, where that velocity is very different from the…”
Space-Time Correlations and Dynamic Coupling in Turbulent Flows (2017, methodology): “This result has been broadly used to calculate spatial energy spectra in hot-wire measurements (del Álamo & Jiménez 2009) and has recently been used to reconstruct space-time energy spectra in particle image velocimetry (PIV) measurements (de Kat & Ganapathisubramani 2015).”
Colour of turbulence (2016, neutral): “We next apply our optimization framework to channel ﬂows with higher Reynolds numbers (Del Álamo & Jiménez 2003; Del Álamo et al. 2004; Hoyas & Jiménez 2006).”
Very-large-scale motions in a turbulent boundary layer (2010, background): “Del Alamo et al. (2004) also performed DNS of relatively long channel flow boxes (8πδ) at fully turbulent Reynolds numbers and investigated the super-δ-scale motions in the outer layer.”
Turbulence in supersonic boundary layers at moderate Reynolds number (2011, methodology): “We also note that spectral densities in experiments are usually taken with respect to the streamwise direction by applying Taylor’s hypothesis to time series at a given off-wall station, which introduces additional uncertainties (del Álamo & Jiménez 2009).”