Abstract
Four direct numerical simulation (DNS) databases are examined to understand the effect of the wall and near-wall turbulence on the Reynolds shear-stress carrying structures in shear-driven flows. The first DNS database is of a non-equilibrium adverse-pressure-gradient (APG) turbulent boundary layer (TBL) with momentum thickness Reynolds number (Reg) reaching 8000. The second one is the same flow as the previous, but turbulence activity in the inner layer (y/S < 0.1) is artificially eliminated. The last two DNS databases are homogeneous shear turbulence (HST) with Taylor microscale Reynolds numbers (Re\) are 104 and 248. Results show that outer layer turbulence in the APG TBLs with large velocity defect is only slightly affected by the near-wall region turbulence which suggests outer layer turbulence sustains itself without necessitating near-wall turbulence. The Corrsin length scale (Lc) scales the size of the Reynolds shear-stress carrying structures in both APG TBLs and HSTs. The streamwise length of these structures is 1LC or larger in all cases. The aspect ratio of the structures behaves similarly in both APG TBLs and HSTs when the size of the structures are normalized with Lc. Sweeps and ejections tend to form side-by-side pairs in both flow types. The spatial properties of sweeps and ejections, such as aspect ratios or relative positions are not affected by near-wall turbulence activity or presence of the wall. This suggests that the structures mostly dependent on the local mean strain rates.
Original language | English |
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Article number | 012009 |
Journal | Journal of Physics: Conference Series |
Volume | 1522 |
Issue number | 1 |
DOIs | |
Publication status | Published - 10 Jun 2020 |
Event | 4th Madrid Summer School on Turbulence - Madrid, Spain Duration: 10 Jun 2019 → 12 Jul 2019 |
Bibliographical note
Publisher Copyright:© 2020 IOP Publishing Ltd. All rights reserved.
Funding
The authors would like to thank Prof. Javier Jiménez for organizing the Fourth Madrid Turbulence Workshop. The computational resources were provided by Calcul Québec (www.calculquebec.ca) and Compute Canada (www.computecanada.ca). This work was also funded in part by the Coturb program of the European Research Council, Istanbul Technical University BAP Unit (Project number MDK-2018-41689) and NSERC of Canada. The authors would like to thank Siwei Dong, Adrián Lozano-Durán, Atsushi Sekimoto and Prof. Javier Jiménez for providing their HST data, and to Prof. Julio Soria for carefully reviewing the original manuscript.
Funders | Funder number |
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Horizon 2020 Framework Programme | 669505 |
Natural Sciences and Engineering Research Council of Canada | |
European Research Council | |
Istanbul Teknik Üniversitesi | MDK-2018-41689 |