A non-hybrid method for the PDF equations of turbulent flows on unstructured grids

In probability density function (PDF) methods of turbulent flows, the joint PDF of several flow variables is computed by numerically integrating a system of stochastic differential equations for Lagrangian particles. A set of parallel algorithms is proposed to provide an efficient solution of the PD...

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Veröffentlicht in:	arXiv.org 2010-06
Hauptverfasser:	Bakosi, J, Franzese, P, Boybeyi, Z
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Channel flow Computational fluid dynamics Computer memory Conditioning Differential equations Finite element method Mathematical models Particle in cell technique Particle tracking Physics - Computational Physics Physics - Fluid Dynamics Probability density functions Scalars Shape functions Shape memory Statistical analysis Street canyons Tracking control Turbulent flow Unstructured grids (mathematics)
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