Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow

J. Soria, V. Kitsios, C. Atkinson, J.A. Sillero, G. Borrell, A.G. Gungar, J. Jimenez

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

2 Citations (Scopus)


This paper presents the results of a study of an adverse pressure gradient turbulent boundary layer (APG-TBL) at the verge of separation and a zero pressure gradient TBL (ZPG-TBL) developing on a flat surface from the same mean inflow conditions using the TBL direct numerical simulation (DNS) code of Simens et al. (J Comput Phys 228:4128–4231, 2009) and Borrell et al. (Comput Fluids 80:37–43, 2013). The APG-TBL DNS uses a modified wall-normal far-field APG boundary condition to yield the self-similar APG-TBL. The maximum Reynolds number based on momentum thickness in the present APG-TBL DNS is Reδ2=6700. The results are compared in the light of a self-similar analysis of the mean boundary layer equations.
Original languageEnglish
Title of host publicationWhither Turbulence and Big Data in the 21st Century?
EditorsAndrew Pollard, Luciano Castillo, Luminita Danaila, Mark Glauser
Place of PublicationSwitzerland
Number of pages15
ISBN (Electronic)9783319412177
ISBN (Print)9783319412153
Publication statusPublished - 31 Aug 2016

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