Improving Low-Frequency Characteristics of Recycling/Rescaling Inflow Turbulence Generation

Morgan, Brandon; Larsson, Johan; Kawai, Soshi; Lele, Sanjiva K.

doi:10.2514/1.j050705

Cited by 88 publications

(63 citation statements)

References 31 publications

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“…[59] uses an approximately 25δ domain, at the end of which there remain perceptible undulations in C f , while in Ref. [90], a shorter region of about 10δ is noted as sufficient for the same method. The method is very attractive, and further characterization in terms of multi-point correlations and parametric studies at different Mach numbers should yield valuable data on efficiency of the method.…”

Section: Unsteadinessmentioning

confidence: 97%

“…Issues with this approach include the need to address recycling of the inviscid wave structure, potentially spurious effects associated with a finite recycling domain and unphysical spanwise decorrelation. Detailed discussion of these aspects and possible solutions have been discussed by Morgan et al [90], who develop the dynamic reflection technique to minimize spurious spanwise correlations that can result with the original approach. The digital filter approach employed by Touber et al [58] is seeing increased use [56].…”

Section: Unsteadinessmentioning

confidence: 98%

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Progress in shock wave/boundary layer interactions

Gaitonde

2015

Progress in Aerospace Sciences

520

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Section: Unsteadinessmentioning

confidence: 97%

Section: Unsteadinessmentioning

confidence: 98%

Progress in shock wave/boundary layer interactions

Gaitonde

2015

Progress in Aerospace Sciences

520

126

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“…Compared with the original rescaling method introduced by Xu & Martín (2004), the present method is modified in two aspects. The first modification consists of adding the dynamic translation operations (Morgan et al 2011), which are applied to the recycled turbulence plane at randomly distributed time intervals to improve the low-frequency characteristics of the generated inflow turbulence. The other modification concerns the removal of artificial inlet acoustics that may be introduced due to the coupling between the recycling and inflow plane.…”

Section: Initial and Boundary Conditionsmentioning

confidence: 99%

Numerical study of acoustic radiation due to a supersonic turbulent boundary layer

2014

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Direct numerical simulations are used to examine the pressure fluctuations generated by fully developed turbulence in a Mach 2.5 turbulent boundary layer, with an emphasis on the acoustic fluctuations radiated into the free stream. Single-and multi-point statistics of computed surface pressure fluctuations show good agreement with measurements and numerical simulations at similar flow conditions. Consistent with spark shadowgraphs obtained in free flight, the quasi-homogeneous acoustic near field in the free-stream region consists of randomly spaced wavepackets with a finite spatial coherence. The free-stream pressure fluctuations exhibit important differences from the surface pressure fluctuations in amplitude, frequency content and convection speeds. Such information can be applied towards improved modelling of boundary layer receptivity in conventional supersonic facilities and, hence, enable a better utilization of transition data acquired in such wind tunnels. The predicted acoustic characteristics are compared with the limited available measurements. Finally, the numerical database is used to understand the acoustic source mechanisms, with the finding that the supersonically convecting eddies that can directly radiate to the free stream are confined to the buffer zone within the boundary layer.

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“…The S-factor profiles show a hill or bump after the inlet, also seen in DNS studies, 28 which is perhaps the effect of non-equilibrium following inlet as a result of the recycling procedure. 21,29,30 Note that the rake of velocity time series is taken well downstream of the hill where the effect of the inflow generation method is not visible. Our results over-estimate the S-factor of the experimental measurements by about 1.5%.…”

Section: Skin Friction and Mean Velocity Profilesmentioning

confidence: 99%

Inner-layer intensities for the flat-plate turbulent boundary layer combining a predictive wall-model with large-eddy simulations

et al. 2012

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Symmetry analysis and self-similar forms of fluid flow and heat-mass transfer in turbulent boundary layer flow of a nanofluid Phys. Fluids 24, 092003 (2012) Detuned resonances of Tollmien-Schlichting waves in an airfoil boundary layer: Experiment, theory, and direct numerical simulation Phys. Fluids 24, 094103 (2012) Asymptotic expansion of the solution of the steady Stokes equation with variable viscosity in a two-dimensional tube structure J. Math. Phys. 53, 103702 (2012) Large-eddy simulation of turbulent channel flow using explicit filtering and dynamic mixed models Phys. Fluids 24, 085105 (2012) Additional information on Phys. Fluids (2010)] to calculate the statistics of the fluctuating streamwise velocity in the inner region. Results, including spectra and moments up to fourth order, are compared with equivalent predictions using experimental time series, as well as with direct experimental measurements at Reynolds numbers Re τ = 7300, 13 600, and 19 000. The LES combined with the wall model are then used to extend the inner-layer predictions to Reynolds numbers Re τ = 62 000, 100 000, and 200 000 that lie within a gap in log (Re τ ) space between laboratory measurements and surface-layer, atmospheric experiments. The present results support a loglike increase in the near-wall peak of the streamwise turbulence intensities with Re τ and also provide a means of extending LES results at large Reynolds numbers to the nearwall region of wall-bounded turbulent flows. C 2012 American Institute of Physics.

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Improving Low-Frequency Characteristics of Recycling/Rescaling Inflow Turbulence Generation

Cited by 88 publications

References 31 publications

Progress in shock wave/boundary layer interactions

Progress in shock wave/boundary layer interactions

Numerical study of acoustic radiation due to a supersonic turbulent boundary layer

Inner-layer intensities for the flat-plate turbulent boundary layer combining a predictive wall-model with large-eddy simulations

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