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

doi:10.1007/978-3-319-41217-7_4

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

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

2 Citations (Scopus)

Abstract

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 Re_δ2=6700. The results are compared in the light of a self-similar analysis of the mean boundary layer equations.

Original language	English
Title of host publication	Whither Turbulence and Big Data in the 21st Century?
Editors	Andrew Pollard, Luciano Castillo, Luminita Danaila, Mark Glauser
Place of Publication	Switzerland
Publisher	Springer
Pages	61-75
Number of pages	15
ISBN (Electronic)	9783319412177
ISBN (Print)	9783319412153
DOIs	https://doi.org/10.1007/978-3-319-41217-7_4
Publication status	Published - 31 Aug 2016

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Soria, J., Kitsios, V., Atkinson, C., Sillero, J. A., Borrell, G., Gungar, A. G., & Jimenez, J. (2016). Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow. In A. Pollard, L. Castillo, L. Danaila, & M. Glauser (Eds.), Whither Turbulence and Big Data in the 21st Century? (pp. 61-75). Springer. https://doi.org/10.1007/978-3-319-41217-7_4

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Soria, J, Kitsios, V, Atkinson, C, Sillero, JA, Borrell, G, Gungar, AG & Jimenez, J 2016, Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow. in A Pollard, L Castillo, L Danaila & M Glauser (eds), Whither Turbulence and Big Data in the 21st Century?. Springer, Switzerland, pp. 61-75. https://doi.org/10.1007/978-3-319-41217-7_4

Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow. / Soria, J.; Kitsios, V.; Atkinson, C. et al.
Whither Turbulence and Big Data in the 21st Century?. ed. / Andrew Pollard; Luciano Castillo; Luminita Danaila; Mark Glauser. Switzerland: Springer, 2016. p. 61-75.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

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T1 - Towards the direct numerical simulation of a self-similar adverse pressure gradient turbulent boundary layer flow

AU - Soria, J.

AU - Kitsios, V.

AU - Atkinson, C.

AU - Sillero, J.A.

AU - Borrell, G.

AU - Gungar, A.G.

AU - Jimenez, J.

PY - 2016/8/31

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N2 - 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.

AB - 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.

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

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