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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

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Part of the book series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design ((NNFM,volume 143))

Abstract

Scale-resolving simulations of turbulent boundary layers (TBLs) still imply high computational costs which limit their applicability to realistic industry problems. A typical strategy to overcome this issue is a restriction of the scale-resolving simulation to a computational sub-domain. Here, we investigate the suitability of a hybrid RANS/LES based on an Elliptic-Blending Reynolds Stress Model (EB-RSM) RANS and turbulence synthetization in the LES sub-domain with Anisotropic Linear Forcing (ALF) to an adverse pressure gradient (APG) TBL case that was experimentally investigated by Hu and Herr. We compare different application strategies and show that the hybrid RANS/LES is capable to consistently predict the measured mean velocity profiles, stresses and wall pressure spectra with a coarser mesh and time-step choice than typically recommended for wall-resolved LES. An open point of research remains the quality of the ALF target fields, from the EB-RSM, in the APG region.

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Notes

  1. 1.

    Besides this disturbance we will use the spectrum at \(x_2\) for the upcoming analysis, as only here measured Reynolds stresses are available. However we emphasize that all findings hold true for \(x_1\) where this peak is not present.

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Correspondence to Lars Erbig .

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Erbig, L., Lardeau, S. (2020). Hybrid RANS/LES of an Adverse Pressure Gradient Turbulent Boundary Layer Using an Elliptic Blending Reynolds Stress Model and Anisotropic Linear Forcing. In: Hoarau, Y., Peng, SH., Schwamborn, D., Revell, A., Mockett, C. (eds) Progress in Hybrid RANS-LES Modelling . Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-030-27607-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-27607-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27606-5

  • Online ISBN: 978-3-030-27607-2

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