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Analysis of the Contribution of Large Scale Motions to the Skin Friction of a Zero-Pressure-Gradient Turbulent Boundary Layer Using the Renard-Deck Decomposition

Sun, Bihai and Shehzad, Muhammad and Jovic, Daniel and Cuvier, Christophe and Willert, Christian and Ostovan, Yasar and Foucaut, Jean Marc and Atkinson, Callum and Soria, Julio (2021) Analysis of the Contribution of Large Scale Motions to the Skin Friction of a Zero-Pressure-Gradient Turbulent Boundary Layer Using the Renard-Deck Decomposition. In: 14th International Symposium on Particle Image Velocimetry - ISPIV2021. 14th International Symposium on Particle Image Velocimetry – ISPIV 2021, 2021-08-01 - 2021-08-05, Chicago, USA (Virtual). doi: 10.18409/ispiv.v1i1.173.

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Official URL: https://doi.org/10.18409/ispiv.v1i1.173

Abstract

Coherent flow structures in turbulent boundary layers have been an active field of research for many decades, as they might be the key to reveal the mechanics of turbulence production and transport in turbulent shear flows. Renard and Deck (2016) proposed a theoretical decomposition for the mean skin-friction coefficient based on the mean kinetic energy budget in the streamwise direction. This decomposition, referred to as the Renard-Deck (RD) decomposition, decomposes the mean skin friction generation into three physical mechanisms in an absolute reference frame, namely, direct viscous dissipation, turbulent kinetic energy production, and spatial growth. In this study, the large scale motions (LSMs) are extracted using a proper orthogonal decomposition (POD) of the velocity field based on high-spatial-resolution two-dimensional - two-component particle image velocimetry (HSR 2C-2D PIV) of a zero-pressure-gradient turbulent boundary layer (ZPG-TBL), and their effect on the skin friction via RD decomposition.

Item URL in elib:https://elib.dlr.de/148598/
Document Type:Conference or Workshop Item (Speech)
Title:Analysis of the Contribution of Large Scale Motions to the Skin Friction of a Zero-Pressure-Gradient Turbulent Boundary Layer Using the Renard-Deck Decomposition
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Sun, BihaiMonash Universityhttps://orcid.org/0000-0002-2587-050XUNSPECIFIED
Shehzad, MuhammadMonash UniversityUNSPECIFIEDUNSPECIFIED
Jovic, DanielMonash UniversityUNSPECIFIEDUNSPECIFIED
Cuvier, ChristopheUniv. Lille, CNRS, ONERA, Arts et Metiers Institute of Technology, Centrale Lille, UMR 9014 - LMFLUNSPECIFIEDUNSPECIFIED
Willert, ChristianUNSPECIFIEDhttps://orcid.org/0000-0002-1668-0181UNSPECIFIED
Ostovan, YasarUniv. Lille, CNRS, ONERA, Arts et Metiers Institute of Technology, Centrale Lille, UMR 9014 - LMFLUNSPECIFIEDUNSPECIFIED
Foucaut, Jean MarcUniv. Lille, CNRS, ONERA, Arts et Metiers Institute of Technology, Centrale Lille, UMR 9014 - LMFLhttps://orcid.org/0000-0003-0800-8608UNSPECIFIED
Atkinson, CallumMonash Universityhttps://orcid.org/0000-0003-3726-2103UNSPECIFIED
Soria, JulioMonash Universityhttps://orcid.org/0000-0002-7089-9686UNSPECIFIED
Date:1 August 2021
Journal or Publication Title:14th International Symposium on Particle Image Velocimetry - ISPIV2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.18409/ispiv.v1i1.173
Status:Published
Keywords:turbulent boundary layer, adverse pressure gradient, particle image velocimetry, PIV, proper orthogonal decomposition
Event Title:14th International Symposium on Particle Image Velocimetry – ISPIV 2021
Event Location:Chicago, USA (Virtual)
Event Type:international Conference
Event Start Date:1 August 2021
Event End Date:5 August 2021
Organizer:Illinois institute of Technology
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Engine Measurement Systems
Deposited By: Willert, Dr.phil. Christian
Deposited On:22 Feb 2022 11:26
Last Modified:24 Apr 2024 20:46

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