Simulation and validation of a spatially evolving turbulent boundary layer up to

Eitel-Amor, Georg; Örlü, Ramis; Schlatter, Philipp

doi:10.1016/j.ijheatfluidflow.2014.02.006

Cited by 166 publications

(125 citation statements)

References 64 publications

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“…One of the reasons is the cost of the numerical simulation of developing boundary layers. To the authors' knowledge, the current highest Reynolds number ranges achieved, based on the momentum thickness θ, are Re θ = 13 320-15 489 (a relatively short Reynolds number range) for the direct numerical simulation of a compressible M ∞ = 2 boundary layer by Pirozzoli & Bernardini (2013), Re θ = 2780-6650 for an incompressible boundary layer DNS (direct numerical simulation) by Sillero et al (2011), Re θ = 180-8300 for a very well-resolved incompressible WRLES (wall-resolved large eddy simulation) by Eitel-Amor, Örlü & Schlatter (2014), and Re θ = 3060-13 650 for a WRLES by Deck et al (2014b) at such a low Mach number that it may be considered incompressible. The latter simulation is used in the present study.…”

Section: T)mentioning

confidence: 99%

On the scale-dependent turbulent convection velocity in a spatially developing flat plate turbulent boundary layer at Reynolds number

Renard

Deck

2015

J. Fluid Mech.

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The scale-dependent turbulent convection velocity of streamwise velocity fluctuations resolved by large eddy simulation is investigated for the first time across the whole profile of a zero-pressure-gradient spatially developing smooth flat plate boundary layer at Re θ = 13 000. The high Reynolds number and streamwise heterogeneity constraints motivate the derivation of a dedicated new method to assess the frequency-dependent convection velocity from time signals and their local streamwise derivative, using estimates of power spectral densities (PSDs). This method is inspired by del Álamo & Jiménez (J. Fluid Mech., vol. 640, 2009, pp. 5-26), who treated a lower Reynolds number channel flow with a method suited to spectral direct numerical simulations of streamwise homogeneous flows. Reconstruction of the streamwise spectrum from the time spectrum using the scale-dependent convection velocity is illustrated and compared with classical strategies. The new method inherently includes not only the assessment of the validity of Taylor's hypothesis, whose trend is remarkably consistent with theoretical predictions by Lin (Q. Appl. Maths, vol. X(4), 1953, 154-165), but also the definition of a global convection velocity accounting for any arbitrary frequency band. This global velocity is shown to coincide with a correlation-based method widely used in experiments. In addition to the mathematical least-squares definition of this velocity, new interpretations based on the flow physics and turbulent micro time scales are presented. Further, the group velocity is assessed and its relation to convection is discussed.

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Section: T)mentioning

confidence: 99%

On the scale-dependent turbulent convection velocity in a spatially developing flat plate turbulent boundary layer at Reynolds number

Renard

Deck

2015

J. Fluid Mech.

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“…The control action is analyzed via direct numerical simulations (DNS) with the pseudo-spectral code SIMSON [12], which gives a high numerical accuracy. The same code has been used in several works by this group, both for simulations of laminar/transitional boundary layers [16] and turbulent flows [15].…”

Section: Flow Configurationmentioning

confidence: 99%

On the wave-cancelling nature of boundary layer flow control

Sasaki

Morra

Fabbiane

et al. 2018

Theor. Comput. Fluid Dyn.

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This work deals with the feedforward active control of Tollmien-Schlichting instability waves over incompressible 2D and 3D boundary layers. Through an extensive numerical study, two strategies are evaluated; the optimal linear-quadratic-Gaussian (LQG) controller, designed using the Eigensystem realization algorithm, is compared to a wave-cancellation scheme, which is obtained using the direct inversion of frequency-domain transfer functions of the system. For the evaluated cases, it is shown that LQG leads to a similar control law and presents a comparable performance to the simpler, wave-cancellation scheme, indicating that the former acts via a destructive interference of the incoming wavepacket downstream of actuation. The results allow further insight into the physics behind flow control of convectively unstable flows permitting, for instance, the optimization of the transverse position for actuation. Using concepts of linear stability theory and the derived transfer function, a more efficient actuation for flow control is chosen, leading to similar attenuation of Tollmien-Schlichting waves with only about 10% of the actuation power in the baseline case.

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“…database d corresponding to published results of Eitel-Amor et al 34 The data from the station corresponding to Re θ = 7,000 was used as an input to the synthetic inflow turbulence generator. We validated this technique for a turbulent boundary layer at Re θ = 31,000 and M ∞ = 0.9, which showed reasonable agreement with the experiments of De Graaff & Eaton.…”

Section: Inflow Turbulencementioning

confidence: 99%

“…35 Sensitivity of the inflow turbulence generation technique to the correlation length and time scales (L n and U n ) was performed for the same flow conditions as the hump simulations for the upstream flat plate without the hump, and its effect was not significant on the mean statistics of the developed turbulent boundary layer. The turbulent statistics in the boundary layer upstream of the hump at x/c = -0.5 is compared to resolved LES data of Eitel-Amor et al 34 at Re θ = 7,000 in Figure 5. Note that the first grid point in viscous units is ∆y + ∼ 72 and 36 for the coarse and fine grids and both the first and third point lie within the log layer region of the boundary layer.…”

Section: Inflow Turbulencementioning

confidence: 99%

Wall--modeled Large Eddy Simulation of Flow Over a Wall--mounted Hump

Iyer

Malik

2016

46th AIAA Fluid Dynamics Conference

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Large eddy simulation (LES) with an equilibrium wall model is used to study the flow past a wall-mounted hump at conditions matching the experiments of Greenblatt et al. based on the hump chord (Rec = u∞c/ν∞) is 936,000 and the freestream Mach number (M∞) is 0.1. The Reynolds number of the flow approaching the hump is about 7,000 based on the momentum thickness. This configuration has proved to be a challenging test case with most Reynolds-Averaged Navier-Stokes (RANS) models overpredicting the separation bubble length. While the present wall-modeled LES simulations capture the bubble length within 3.4% of the experiment and mean statistics in the separation bubble reasonably well, they do not accurately predict the skin friction distribution in the separated region. The effect of grid resolution and exchange location for information from LES to the wall model is studied by qualitative and quantitative comparisons to experiment. The fine grid simulation with the exchange location placed away from the wall gives the best agreement overall with experiment.

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Simulation and validation of a spatially evolving turbulent boundary layer up to

Cited by 166 publications

References 64 publications

On the scale-dependent turbulent convection velocity in a spatially developing flat plate turbulent boundary layer at Reynolds number

On the scale-dependent turbulent convection velocity in a spatially developing flat plate turbulent boundary layer at Reynolds number

On the wave-cancelling nature of boundary layer flow control

Wall--modeled Large Eddy Simulation of Flow Over a Wall--mounted Hump

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