Near-wall damping in model predictions of separated flows
Different near-wall scalings are reviewed by the use of data from direct numerical simulations (DNS) of attached and separated adverse pressure gradient turbulent boundary layers. The turbulent boundary layer equation is analysed in order to extend the validity of existing wall damping functions to...
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sg-ntu-dr.10356-818342023-03-04T17:13:19Z Near-wall damping in model predictions of separated flows Skote, Martin Wallin, Stefan School of Mechanical and Aerospace Engineering turbulent boundary layer adverse pressure gradient Different near-wall scalings are reviewed by the use of data from direct numerical simulations (DNS) of attached and separated adverse pressure gradient turbulent boundary layers. The turbulent boundary layer equation is analysed in order to extend the validity of existing wall damping functions to turbulent boundary layers under severe adverse pressure gradients. A proposed near-wall scaling is based on local quantities and the wall distance, which makes it applicable for general computational fluid dynamics (CFD) methods. It was found to have a similar behaviour as the pressure-gradient corrected analytical y* scaling and avoids the inconsistencies present in the y+ scaling. The performance of the model is illustrated by model computations using explicit algebraic Reynolds stress models with near-wall damping based on different scalings. Accepted version 2016-08-02T06:09:59Z 2019-12-06T14:41:11Z 2016-08-02T06:09:59Z 2019-12-06T14:41:11Z 2016 2016 Journal Article Skote, M., & Wallin, S. (2016). Near-wall damping in model predictions of separated flows. International Journal of Computational Fluid Dynamics, 30(3), 218-230. 1061-8562 https://hdl.handle.net/10356/81834 http://hdl.handle.net/10220/41040 10.1080/10618562.2016.1194402 195042 en International Journal of Computational Fluid Dynamics © 2016 Informa UK Limited (published by Taylor & Francis). This is the author created version of a work that has been peer reviewed and accepted for publication in International Journal of Computational Fluid Dynamics, published by Taylor & Francis on behalf of Informa UK Limited. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/10618562.2016.1194402]. 18 p. application/pdf |
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turbulent boundary layer adverse pressure gradient Skote, Martin Wallin, Stefan Near-wall damping in model predictions of separated flows |
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Different near-wall scalings are reviewed by the use of data from direct numerical simulations (DNS) of attached and separated adverse pressure gradient turbulent boundary layers. The turbulent boundary layer equation is analysed in order to extend the validity of existing wall damping functions to turbulent boundary layers under severe adverse pressure gradients. A proposed near-wall scaling is based on local quantities and the wall distance, which makes it applicable for general computational fluid dynamics (CFD) methods. It was found to have a similar behaviour as the pressure-gradient corrected analytical y* scaling and avoids the inconsistencies present in the y+ scaling. The performance of the model is illustrated by model computations using explicit algebraic Reynolds stress models with near-wall damping based on different scalings. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Skote, Martin Wallin, Stefan |
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Article |
author |
Skote, Martin Wallin, Stefan |
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Skote, Martin |
title |
Near-wall damping in model predictions of separated flows |
title_short |
Near-wall damping in model predictions of separated flows |
title_full |
Near-wall damping in model predictions of separated flows |
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Near-wall damping in model predictions of separated flows |
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Near-wall damping in model predictions of separated flows |
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near-wall damping in model predictions of separated flows |
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2016 |
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https://hdl.handle.net/10356/81834 http://hdl.handle.net/10220/41040 |
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1759856200377171968 |