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Article

Direct Numerical Simulation of Turbulent Channel Flow on High-Performance GPU Computing System

Fluid Dynamics Laboratory, Università della Calabria, Via P. Bucci 42b, 87036 Rende (Cosenza), Italy
*
Author to whom correspondence should be addressed.
Current address: Euro-Mediterranean Centre on Climate Change, Via A. Imperatore 16, 73100 Lecce, Italy
These authors contributed equally to the work.
Academic Editors: Markus Kraft and Ali Cemal Benim
Received: 26 November 2015 / Revised: 14 January 2016 / Accepted: 9 February 2016 / Published: 26 February 2016
(This article belongs to the Section Computational Engineering)
The flow of a viscous fluid in a plane channel is simulated numerically following the DNS approach, and using a computational code for the numerical integration of the Navier-Stokes equations implemented on a hybrid CPU/GPU computing architecture (for the meaning of symbols and acronyms used, one can refer to the Nomenclature). Three turbulent-flow databases, each representing the turbulent statistically-steady state of the flow at three different values of the Reynolds number, are built up, and a number of statistical moments of the fluctuating velocity field are computed. For turbulent-flow-structure investigation, the vortex-detection technique of the imaginary part of the complex eigenvalue pair in the velocity-gradient tensor is applied to the fluctuating-velocity fields. As a result, and among other types, hairpin vortical structures are unveiled. The processes of evolution that characterize the hairpin vortices in the near-wall region of the turbulent channel are investigated, in particular at one of the three Reynolds numbers tested, with specific attention given to the relationship that exists between the dynamics of the vortical structures and the occurrence of ejection and sweep quadrant events. Interestingly, it is found that the latter events play a preminent role in the way in which the morphological evolution of a hairpin vortex develops over time, as related in particular to the establishment of symmetric and persistent hairpins. The present results have been obtained from a database that incorporates genuine DNS solutions of the Navier-Stokes equations, without superposition of any synthetic structures in the form of initial and/or boundary conditions for the simulations. View Full-Text
Keywords: Navier-Stokes equations; DNS; turbulent channel flow; swirling-strength criterion for vortex detection; hairpin vortices; quadrant events Navier-Stokes equations; DNS; turbulent channel flow; swirling-strength criterion for vortex detection; hairpin vortices; quadrant events
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MDPI and ACS Style

Alfonsi, G.; Ciliberti, S.A.; Mancini, M.; Primavera, L. Direct Numerical Simulation of Turbulent Channel Flow on High-Performance GPU Computing System. Computation 2016, 4, 13. https://0-doi-org.brum.beds.ac.uk/10.3390/computation4010013

AMA Style

Alfonsi G, Ciliberti SA, Mancini M, Primavera L. Direct Numerical Simulation of Turbulent Channel Flow on High-Performance GPU Computing System. Computation. 2016; 4(1):13. https://0-doi-org.brum.beds.ac.uk/10.3390/computation4010013

Chicago/Turabian Style

Alfonsi, Giancarlo, Stefania A. Ciliberti, Marco Mancini, and Leonardo Primavera. 2016. "Direct Numerical Simulation of Turbulent Channel Flow on High-Performance GPU Computing System" Computation 4, no. 1: 13. https://0-doi-org.brum.beds.ac.uk/10.3390/computation4010013

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