Decomposition of the mean friction drag in adverse-pressure-gradient turbulent boundary layers

Yitong Fan (范钇彤), Weipeng Li (李伟鹏), Marco Atzori, Ramon Pozuelo, Philipp Schlatter, and Ricardo Vinuesa
Phys. Rev. Fluids 5, 114608 – Published 18 November 2020

Abstract

In this study, we exploit the Renard-Deck identity [J. Fluid Mech. 790, 339 (2016)] to decompose the mean friction drag in adverse-pressure-gradient turbulent boundary layers (APG-TBLs) into three components, associated with viscous dissipation, turbulence kinetic energy production, and spatial growth of the flow, respectively. We consider adverse-pressure-gradient turbulent boundary layers developing on flat plates and airfoils, with friction Reynolds numbers in the range 200<Reτ<2000, and with Rotta-Clauser pressure-gradient parameters (β) ranging from 0 to 50. The effects of Reynolds number, adverse pressure gradient, and the pressure-gradient history on the contributing components are individually investigated, and special attention is paid to the comparisons with zero-pressure-gradient turbulent boundary layers (ZPG-TBLs). Our results indicate that the inner peaks of the dissipation and production terms are located at y+6 and y+16.5, respectively, and their outer peaks scale with the 99% boundary-layer thickness (δ99), i.e., y/δ990.7 and 0.53, respectively. These results are independent of the friction Reynolds number, the magnitude of β, and its development history. Moreover, the spatial-growth component is negative in the investigated APG-TBLs, and its magnitude increases with β.

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  • Received 27 August 2020
  • Accepted 27 October 2020

DOI:https://doi.org/10.1103/PhysRevFluids.5.114608

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Yitong Fan (范钇彤)1, Weipeng Li (李伟鹏)1,*, Marco Atzori2, Ramon Pozuelo2, Philipp Schlatter2, and Ricardo Vinuesa2

  • 1School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2SimEx/FLOW, Engineering Mechanics, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden

  • *Corresponding author: liweipeng@sjtu.edu.cn

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Vol. 5, Iss. 11 — November 2020

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