Direct Numerical Simulation of inertial particle accelerations in near-wall turbulence: effect of gravity

Lavezzo, Valentina; Gerashchenko, Sergiy; Warhaft, Z.; Collins, Lance R.; Soldati, Alfredo

doi:10.1007/978-3-642-03085-7_83

Cited by 1 publication

(2 citation statements)

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“…Although there is a large difference in Reynolds number, the magnitudes of the present accelerations are of the same order. In a numerical study of Lavezzo et al (2009), it was shown that RMS values of the y-acceleration of fluid particles in a turbulent channel flow tends to be slightly larger than those of the x-acceleration in regions above y ? = 120, which is the main part of the investigated domain in our study.…”

Section: Lagrangian Views and Statisticsmentioning

confidence: 99%

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Eulerian and Lagrangian views of a turbulent boundary layer flow using time-resolved tomographic PIV

et al. 2010

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Coherent structures and their time evolution in the logarithmic region of a turbulent boundary layer investigated by means of 3D space-time correlations and time-dependent conditional averaging techniques are the focuses of the present paper. Experiments have been performed in the water tunnel at TU Delft measuring the particle motion within a volume of a turbulent boundary layer flow along a flat plate at a free-stream velocity of 0.53 m/s at Re h = 2,460 based on momentum thickness by using time-resolved tomographic particle image velocimetry (PIV) at 1 kHz sampling rate and particle tracking velocimetry (PTV). The obtained data enable an investigation into the flow structures in a 3D Eulerian reference frame within time durations corresponding to 28 d/U. An analysis of the time evolution of conditional averages of vorticity components representing inclined hairpin-like legs and of Q2-and Q4-events has been performed, which gives evidence to rethink the early stages of the classical hairpin development model for high Reynolds number TBLs. Furthermore, a PTV algorithm has been applied on the time sequences of reconstructed 3D particle image distributions identifying thousands of particle trajectories that enable the calculation of probability distributions of the three components of Lagrangian accelerations. Abbreviations DNS

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Section: Lagrangian Views and Statisticsmentioning

confidence: 99%

“…Only few papers are available dealing with investigations into Lagrangian motions and accelerations in TBL or channel flows using DNS (e.g. Lee et al (2004), Lavezzo et al (2009), Yeo et al (2010), all of them at relatively low Re s between 180 and 600, and even less using experimental methods (e.g. Gerashchenko et al (2008)).…”

Section: Introductionmentioning

confidence: 99%