Hybrid RANS/LES of an Adverse Pressure Gradient Turbulent Boundary Layer Using an Elliptic Blending Reynolds Stress Model and Anisotropic Linear Forcing

Erbig, Lars; Lardeau, Sylvain

doi:10.1007/978-3-030-27607-2_5

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…The value of k 1 denotes the peak position of the convection ridge. The obtained convection velocity is consistent with the result derived from a LES dataset, 34 see Fig. 8 .…”

Section: B Two-point Statisticssupporting

confidence: 89%

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CFD-based study on one- and two-point statistics of wall pressure fluctuations

2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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This paper presents a study on the statistics of wall pressure fluctuations with the socalled TNO-Blake model. The focus is on the statistics which have essential importance for the surface structural vibration, such as the one-point and wavenumber-frequency spectra, the coherence lengths and the convection velocity of the wall pressure field. The turbulent-boundary-layer (TBL) parameters which needed for the model are provided by RANS calculations. Calculations were carried out for zero pressure gradient flows with two velocities and an adverse pressure gradient flow, illustrating Reynolds number and pressure gradient effects. The effects on the one-point spectra, especially the contribution from different wall-normal positions across TBL, and on two-point statistics are discussed. Furthermore, the impact of different formulations for the velocity spectrum and moving axis spectrum on the wall pressure statistics is demonstrated.

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“…The value of k 1 denotes the peak position of the convection ridge. The obtained convection velocity is consistent with the result derived from a LES dataset, 34 see Fig. 8 .…”

Section: B Two-point Statisticssupporting

confidence: 89%

“…This is probably due to the 2D RANS which cannot account for the increased impact of the open-jet shear layer due to the airfoil on the boundary layer flows. 34,35 Fig. 1 shows the boundary layer profiles of parameters which are needed for the TNO-Blake model in x 2 /δ and x + 2 next to it.…”

Section: Methods and Mean Flow Conditionsmentioning

confidence: 99%

CFD-based study on one- and two-point statistics of wall pressure fluctuations

2022

28th AIAA/CEAS Aeroacoustics 2022 Conference

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“…Comparing this forcing to the one used in De Laage de Meux et al (2015) or Erbig and Lardeau (2020), the controler applies directly on the coefficient A and the production term takes the form P = A 2k r − u i ũi if A is assumed constant. Also, since from its definition, F i = 0 , the forcing term has no effect on the averaged velocity.…”

Section: Characterisation Of the Forcingmentioning

confidence: 99%

Adapted Linear Forcing for Inlet Turbulent Fluctuations Generation and Application to a Conical Vortex Flow

Perrin

2021

Flow Turbulence Combust

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A method based on linear forcing is developed to generate realistic turbulent fluctuations at the inlet of a computational domain. The method uses a precursor computation of convected forced isotropic turbulence and variables are extracted from a plane to be imposed at the inlet of the main simulation. In the precursor computation, the turbulent fluctuations are generated and sustained using a synthetic generator and a linear forcing which have been adapted in order to allow the specification of the intensity and length scale. The method is then applied to the analysis of a conical vortex in interaction with a wall subjected to external turbulence using Improved Delayed Detached Eddy Simulation. Good agreement with experimental data is achieved both concerning the decay of the turbulent fluctuations in the upstream region and concerning the sensitivity of the vortex to the Free Stream Turbulence.

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“…The proposed method was successfully applied to generic test cases as well as the simulation of an experiment of an airfoil behind a turbulence grid in a wind tunnel (Dietrich et al [5]). In precursor investigations also, other turbulence reconstruction tools, such as the Anisotropic Linear Forcing (ALF) in StarCCM+ (Erbig et al [6]), were investigated. However, for the test cases, the FRPM showed the most promising results.…”

Section: Introductionmentioning

confidence: 99%

Aeroacoustic Simulations of an Axial Fan with Modelled Turbulent Inflow Conditions

Dietrich

Schneider

2023

IJTPP

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In applications, the acoustics of fans can differ significantly from the measurements of the standalone fan. This is due to disturbed inflow conditions, for example, caused by a heat exchanger upstream of an axial fan. Resolving the complex geometry and dimensions of typical heat exchangers in aeroacoustic scale-resolving simulations leads to a very high computation effort, which is currently not economically feasible. Turbulence reconstruction tools, such as the FRPM, provide the possibility to model the turbulent inflow conditions, thereby avoiding the representation of the heat exchanger in the aeroacoustic simulations. This approach is tested on a benchmark experiment of a ducted fan with an upstream turbulence grid.

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Hybrid RANS/LES of an Adverse Pressure Gradient Turbulent Boundary Layer Using an Elliptic Blending Reynolds Stress Model and Anisotropic Linear Forcing

Cited by 3 publications

References 11 publications

CFD-based study on one- and two-point statistics of wall pressure fluctuations

CFD-based study on one- and two-point statistics of wall pressure fluctuations

Adapted Linear Forcing for Inlet Turbulent Fluctuations Generation and Application to a Conical Vortex Flow

Aeroacoustic Simulations of an Axial Fan with Modelled Turbulent Inflow Conditions

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