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Prediction Capabilities of Two Reynolds Stress Turbulence Models for a Turbulent Wake Subjected to Adverse Pressure Gradient

Burnazzi, Marco and Knopp, Tobias and Strelets, Mikhail and Shur, Michael and Travin, Andrej and Breitenstein, Wiebke and Scholz, Peter and Radespiel, Rolf (2020) Prediction Capabilities of Two Reynolds Stress Turbulence Models for a Turbulent Wake Subjected to Adverse Pressure Gradient. In: 21st STAB/DGLR Symposium on New Results in Numerical and Experimental Fluid Mechanics, 142, pp. 565-575. Springer Nature. 21. STAB/DGLR Symposium 2018, 6.-7. Nov. 2018, Darmstadt, Deutschland. DOI: 10.1007/978-3-030-25253-3_54 ISBN 978-3-030-25252-6 ISSN 1612-2909

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Official URL: https://doi.org/10.1007/978-3-030-25253-3_54

Abstract

The present contribution focuses on the behavior of two RANS Reynolds stress turbulence models in the prediction of flow reversal occurring in turbulent wakes subjected to strong adverse pressure gradients. RANS results are compared to a high-fidelity RANS-IDDES solution for an experimental set-up from Driver and Mateer. The tested models are the JHh-εh v2 and the SSG/LRR-ω. Additionally, the comparison includes a modified version of the SSG/LRR-ω model where the sensitivity to pressure gradients is enhanced by the Sε4 term, which is already present in the JHh-εh v2 model. None of these RANS approaches was able to capture the flow recirculation as shown by the IDDES. The analysis aims at characterizing the wake flow and identifying possible sources of the RANS shortcomings, such as departure from dynamic equilibrium and strong Reynolds stress anisotropy.

Item URL in elib:https://elib.dlr.de/122900/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Print ISBN 978-3-030-25252-6 Online ISBN 978-3-030-25253-3 ISSN-electronic 1860-0824
Title:Prediction Capabilities of Two Reynolds Stress Turbulence Models for a Turbulent Wake Subjected to Adverse Pressure Gradient
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Burnazzi, MarcoMarco.Burnazzi (at) dlr.deUNSPECIFIED
Knopp, TobiasTobias.Knopp (at) dlr.deUNSPECIFIED
Strelets, MikhailSt. Petersburg Polytechnic UniversityUNSPECIFIED
Shur, MichaelSt. Petersburg Polytechnic UniversityUNSPECIFIED
Travin, AndrejSt. Petersburg Polytechnic UniversityUNSPECIFIED
Breitenstein, WiebkeTU BraunschweigUNSPECIFIED
Scholz, PeterTU BraunschweigUNSPECIFIED
Radespiel, RolfTU BraunschweigUNSPECIFIED
Date:2020
Journal or Publication Title:21st STAB/DGLR Symposium on New Results in Numerical and Experimental Fluid Mechanics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:142
DOI :10.1007/978-3-030-25253-3_54
Page Range:pp. 565-575
Editors:
EditorsEmailEditor's ORCID iD
Dillmann, Andreasandreas.dillmann@dlr.deUNSPECIFIED
Heller, GerdAirbus BremenUNSPECIFIED
Krämer, EwaldInstitut für Aerodynamik und Gasdynamik Universität StuttgartUNSPECIFIED
Wagner, ClausClaus.Wagner@DLR.deUNSPECIFIED
Tropea, CameronTU Darmstadt, Fachgebiet Strömungslehre und Aerodynamik, DarmstadtUNSPECIFIED
Jakirlic, SuadTU DarmstadtUNSPECIFIED
Publisher:Springer Nature
Series Name:Notes on Numerical Fluid Mechanics and Multidisciplinary Design
ISSN:1612-2909
ISBN:978-3-030-25252-6
Status:Published
Keywords:RANS, Turbulent Wake, APG.
Event Title:21. STAB/DGLR Symposium 2018
Event Location:Darmstadt, Deutschland
Event Type:international Conference
Event Dates:6.-7. Nov. 2018
Organizer:STAB/DGLR
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Knopp, Dr.rer.nat. Tobias
Deposited On:21 Nov 2018 14:41
Last Modified:18 Jun 2020 09:31

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