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Statistics and TKE Budgets of Beta = 0, 1, 39 Turbulent Boundary Layer DNS

Version 4 2020-02-29, 11:17
Version 3 2020-02-29, 11:11
Version 2 2019-07-10, 08:32
Version 1 2019-07-05, 12:23
dataset
posted on 2020-02-29, 11:17 authored by Julio SoriaJulio Soria, Callum Atkinson, Vassili Kitsios, Atsushi SekimotoAtsushi Sekimoto, Shevarjun Senthil, Javier Jimenez

The statistical properties are presented for the direct numerical simulation of a self-similar adverse pressure gradient (APG) turbulent boundary layer (TBL) at the verge of separation. The APG TBL has a momentum thickness-based Reynolds number range from 570 to 13, 800, with a self-similar region from 10, 000 to 12, 300. Within this domain the average non-dimensional pressure gradient parameter beta = 39. These properties are compared to those of a beta = 0 and 1 case.


The statistical properties and KE budgets of these three flows in the domain of interest are provided as ASCII files.


Properties:
Kinematic Viscosity = 0.000285714
Density = 1

DATAFILES:

ASCII files:
ZPG_Beta0.dat
mildAPG_Beta1.dat
strongAPG_Beta39.dat
ZPG_Beta0_KEbudgets.dat
mildAPG_Beta1_KEbudgets.dat
strongAPG_Beta39_KEbudgets.dat


Plots:

uu_reynoldsstress.pdf

uv_reynoldsstress.pdf

vv_reynoldsstress.pdf

ww_reynoldsstress.pdf

KE_budgets_Beta39_figshare.pdf


References:

Kitsios, V., Sekimoto, A., Atkinson, C., Sillero, J. A., Borrell, G., Gungor, A. G., et al. (2017). Direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer at the verge of separation. Journal of Fluid Mechanics, 829, 392–419. http://doi.org/10.1017/jfm.2017.549

Kitsios, V., Atkinson, C., Sillero, J. A., Borrell, G., Gungor, A. G., Jiménez, J., & Soria, J. (2016). Direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer. International Journal of Heat and Fluid Flow, 61, 129–136. http://doi.org/10.1016/j.ijheatfluidflow.2016.04.008

Funding

ARC DP130103621 "Turbulent wall-bounded flow in adverse pressure gradient environments", Computational resources provided by the Australian National Computational Infrastructure via NCMAS, iVEC and EU-PRACE.

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