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Experimental/Numerical Study of Turbulent Wake in Adverse Pressure Gradient

Guseva, E. and Shur, M. and Strelets, M. and Travin, A. and Breitenstein, W. and Radespiel, R. and Scholz, P. and Burnazzi, M. and Knopp, T. (2019) Experimental/Numerical Study of Turbulent Wake in Adverse Pressure Gradient. In: Progress in Hybrid RANS-LES Modelling, 143, pp. 401-412. Springer International Publishing. 7th Symposium on Hybrid RANS-LES Methods, 17.Sept. - 19.Sept. 2018, Berlin. DOI: 10.1007/978-3-030-27607-2_33 ISBN 978-3-030-27606-5 ISSN 1612-2909

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Official URL: https://doi.org/10.1007/978-3-030-27607-2_33


The paper presents a bilateral German-Russian project launched in 2017 and aimed at investigation of turbulent wakes in the presence of Adverse Pressure Gradient (APG). Such wakes are a common feature of high-lift wing flows near the maximum lift conditions (take-off and landing), when the wake of the main wing is subjected to APG created by flaps. This type of flow is known to be poorly predicted by available RANS models. Hence, an ultimate goal of the project is their improvement based on a detailed experimental dataset and on results of high-fidelity turbulence resolving simulations providing relevant second moment closure terms not accessible by measurements. After a brief overview of the experimental and numerical parts of the project, the paper focuses on the first zonal RANS-IDDES computations of a wake of the flat plate in APG created by a plane diffuser. These computations performed in the initial stage of the project (before obtaining experimental data) are aimed at evaluating the capability of this approach to ensure the required accuracy with reasonable computational resources. Results of the simulations conducted on 3 grids (18, 30, and 50 million cells) support the credibility of the approach and suggest that it ensures not only virtually grid-independent prediction of the mean flow characteristics of the wake but also the dissipation-rate which is a key quantity in the context of improvement of the Reynolds Stress Transport RANS models. This is achieved, despite a relatively large grid step in the wake region (about 75 Kolmogorov length scales), thanks to computing this quantity based on the balance of the separate terms of the Reynolds stress transport equations.

Item URL in elib:https://elib.dlr.de/122056/
Document Type:Conference or Workshop Item (Speech)
Additional Information:Print ISBN 978-3-030-27606-5 Online ISBN 978-3-030-27607-2
Title:Experimental/Numerical Study of Turbulent Wake in Adverse Pressure Gradient
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Guseva, E.St. Petersburg Polytechnik UniversityUNSPECIFIED
Shur, M.St. Petersburg Polytechnik UniversityUNSPECIFIED
Strelets, M.St. Petersburg Polytechnik UniversityUNSPECIFIED
Travin, A.St. Petersburg Polytechnik UniversityUNSPECIFIED
Breitenstein, W.TU BraunschweigUNSPECIFIED
Radespiel, R.TU BraunschweigUNSPECIFIED
Scholz, P.TU BraunschweigUNSPECIFIED
Date:2 November 2019
Journal or Publication Title:Progress in Hybrid RANS-LES Modelling
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1007/978-3-030-27607-2_33
Page Range:pp. 401-412
Hoarau, YannickUNSPECIFIED
Schwamborn, DieterUNSPECIFIED
Revell, Alistair J.UNSPECIFIED
Mockett, CharlesUNSPECIFIED
Publisher:Springer International Publishing
Series Name:Notes on Numerical Fluid Mechanics and Multidisciplinary Design
Keywords:Turbulent wake flow; adverse pressure Gradient; large-eddy simulation
Event Title:7th Symposium on Hybrid RANS-LES Methods
Event Location:Berlin
Event Type:international Conference
Event Dates:17.Sept. - 19.Sept. 2018
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 - VicToria
Location: Göttingen
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, GO
Deposited By: Knopp, Dr.rer.nat. Tobias
Deposited On:08 Nov 2018 13:36
Last Modified:11 Dec 2019 17:45

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