Reynolds shear-stress carrying structures in shear-dominated flows
Journal of Physics: Conference Series, ISSN: 1742-6596, Vol: 1522, Issue: 1
2020
- 2Citations
- 4Captures
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Conference Paper Description
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 (L) scales the size of the Reynolds shear-stress carrying structures in both APG TBLs and HSTs. The streamwise length of these structures is 1L 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 L. 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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85086628158&origin=inward; http://dx.doi.org/10.1088/1742-6596/1522/1/012009; https://iopscience.iop.org/article/10.1088/1742-6596/1522/1/012009; https://dx.doi.org/10.1088/1742-6596/1522/1/012009; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=9a86e8dc-7b00-452c-874a-156d3d8fb282&ssb=59967288724&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1742-6596%2F1522%2F1%2F012009&ssi=4a0be37a-cnvj-47be-84d0-188924326d41&ssk=botmanager_support@radware.com&ssm=29288657234830051483168494808286080&ssn=fc3d6365e1ea74f41ed9fa59a6c1347f4dd06e9c6c62-bdb9-4deb-87c57c&sso=58511081-d7b4100be1c40b3a6956161b57c1d0e807da2ae81ac28f86&ssp=45702178071729723257173017611852490&ssq=73592533618247000355906969871580269849769&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJyZCI6ImlvcC5vcmciLCJ1em14IjoiN2Y5MDAwZjE4MDUxZmYtNjRmOS00MmIyLWI5NTAtOTA0ZDU2OWUyZWUyNi0xNzI5NzA2OTY5NTIzNDI5MjEyNzg0LWZhZmVlNzcyMjQ0MDk4ODY0ODMwNCIsIl9fdXptZiI6IjdmNjAwMGU1YTcxYmRkLTQ2MTctNDVmNS05Mjk4LTI0ZWRjZjkwODdhMDE3Mjk3MDY5Njk1MjM0MjkyMTI3ODQtYWQyMDJkNzM2YmU2OThjNTQ4MzEwIn0=
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