Probability density function computation of turbulent flows with a new near-wall model

DOI10.1063/1.1683189zbMath1186.76555OpenAlexW2026067310MaRDI QIDQ3554378

Marta Wacławczyk, Jacek Pozorski, Jean-Pierre Minier

Publication date: 22 April 2010

Published in: Physics of Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.1683189

zbMATH Keywords

Navier-Stokes equationsprobabilityMonte Carlo methodschannel flowviscosityboundary layer turbulenceflow simulation

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

Related Items (11)

Probability density function modeling of scalar mixing from concentrated sources in turbulent channel flow ⋮ A stochastic model of coherent structures for particle deposition in turbulent flows ⋮ Instantaneous turbulent kinetic energy modelling based on Lagrangian stochastic approach in CFD and application to wind energy ⋮ Analysis of wall-modelled particle/mesh PDF methods for turbulent parietal flows ⋮ Lagrangian stochastic modelling of acceleration in turbulent wall-bounded flows ⋮ Transported Probability Density Function Methods for Reynolds-Averaged and Large-Eddy Simulations ⋮ A non-hybrid method for the PDF equations of turbulent flows on unstructured grids ⋮ New molecular transport model for FDF/LES of turbulence with passive scalar ⋮ Heat transfer -- a review of 2004 literature ⋮ Predicting viscous-range velocity gradient dynamics in large-eddy simulations of turbulence ⋮ Study on Langevin model parameters of velocity in turbulent shear flows

Cites Work

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• Direct numerical simulation of turbulent channel flow up to Reτ=590
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• A new form of the elliptic relaxation equation to account for wall effects in RANS modeling
• Elliptic blending model: A new near-wall Reynolds-stress turbulence closure
• Full velocity-scalar probability density function computation of heated channel flow with wall function approach
• Application of the velocity-dissipation probability density function model to inhomogeneous turbulent flows
• Probability density function/Monte Carlo simulation of near-wall turbulent flows
• Realizability of second-moment closure via stochastic analysis

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