Abstract
Proper orthogonal decomposition (POD) is used to study coherent structures on measurements of wall-bounded turbulent flows. In order to apply POD in the study of turbulent boundary layers, it is important to determine the appropriate size of the flow domain to be used in POD analysis. This study uses the 2C-2D PIV measurements of an adverse pressure gradient (APG) turbulent boundary layer (TBL) with β ≈ 0 ∼ 3.74 and Reδ2 ≈ 1,720 ∼ 23,430 where Reδ2 is the momentum thickness based Reynolds number and β is the Clauser's pressure gradient parameter. The measurements were obtained in the Laboratoire de Mécanique des Fluides de Lille (LMFL) High-Reynolds-Number (HRN) Boundary Layer Wind Tunnel, Lille, France. Spanning over 20δ along the streamwise direction (where δ is the boundary layer thickness in the middle of the field of view), these are appropriate to be used in the study of the extent of the large-scale motions. POD analysis on the variable domain size along the streamwise direction (∆x) suggests that the POD mode shape changes with ∆x. In this particular TBL, the shape of the first mode which represents the largest scales in the fluid flow, changes until ∆x is equal to or greater than 8δ. It is also observed the smaller scales of higher-order POD modes take longer ∆x to converge in the mode shape. The streamwise integral-length-scale of 6.68δ also confirms the size of the largest scales to be around 8δ. Therefore, for this particular TBL, a minimum streamwise domain size of 8δ is appropriate for the analysis of large-scale motions using POD.
Original language | English |
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Title of host publication | 12th International Symposium on Turbulence and Shear Flow Phenomena (TSFP12) |
Publisher | TSFP |
Number of pages | 6 |
Publication status | Published - 2022 |
Event | Turbulence and Shear Flow Phenomena 2022 - Online, Osaka, Japan Duration: 19 Jul 2022 → 22 Jul 2022 Conference number: 12th https://www.tsfp12.org (Website) |
Conference
Conference | Turbulence and Shear Flow Phenomena 2022 |
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Abbreviated title | TSFP 2022 |
Country/Territory | Japan |
City | Osaka |
Period | 19/07/22 → 22/07/22 |
Internet address |
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