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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
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posted on 2020-02-29, 11:17 authored by Julio SoriaJulio Soria, Callum Atkinson, Vassili Kitsios, Atsushi SekimotoAtsushi Sekimoto, Shevarjun Senthil, Javier Jimenez
<p>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. </p><p><br></p><p>The statistical properties and KE budgets of these three flows in the domain of interest are provided as ASCII files.</p><p><br></p><div><b>Properties:</b></div><div>Kinematic Viscosity = 0.000285714</div><div>Density = 1</div><div><b><br></b></div><div><b>DATAFILES:</b></div><div><br></div><div><u>ASCII files:</u></div><div>ZPG_Beta0.dat </div><div>mildAPG_Beta1.dat </div><div>strongAPG_Beta39.dat<br></div><div>ZPG_Beta0_KEbudgets.dat<br></div><div>mildAPG_Beta1_KEbudgets.dat<br></div><div>strongAPG_Beta39_KEbudgets.dat<br></div><p><br></p><p><u>Plots:</u></p><p>uu_reynoldsstress.pdf</p><p>uv_reynoldsstress.pdf</p><p>vv_reynoldsstress.pdf</p><p>ww_reynoldsstress.pdf</p><p>KE_budgets_Beta39_figshare.pdf<br></p><p><b><br></b></p><p><b>References:</b></p><p>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. <i>Journal of Fluid Mechanics</i>, <i>829</i>, 392–419. http://doi.org/10.1017/jfm.2017.549</p><p>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. <i>International Journal of Heat and Fluid Flow</i>, <i>61</i>, 129–136. http://doi.org/10.1016/j.ijheatfluidflow.2016.04.008</p>

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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