Lagrangian statistics in uniform shear flow: Direct numerical simulation and Lagrangian stochastic models

DOI10.1063/1.1388539zbMath1184.76481OpenAlexW1982159607MaRDI QIDQ3555629

Brian L. Sawford, P. K. Yeung

Publication date: 22 April 2010

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

Full work available at URL: https://doi.org/10.1063/1.1388539

zbMATH Keywords

stochastic processesstatistical analysisflow simulationshear turbulence

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

Related Items (15)

The effect of a non-zero Lagrangian time scale on bounded shear dispersion ⋮ Statistical model of particle motion and dispersion in an anisotropic turbulent flow ⋮ Two-way coupled stochastic model for dispersion of inertial particles in turbulence ⋮ Linear response theory of turbulence ⋮ Lagrangian statistics in turbulent channel flow ⋮ On the probability density function model for the transport of particles in anisotropic turbulent flow ⋮ On Lagrangian time scales and particle dispersion modeling in equilibrium turbulent shear flows ⋮ Stochastic Lagrangian models of velocity in homogeneous turbulent shear flow ⋮ On the Kolmogorov constant in stochastic turbulence models ⋮ The Kolmogorov constant for the Lagrangian velocity spectrum and structure function ⋮ Improved Lagrangian mixing models for passive scalars in isotropic turbulence ⋮ Scalar dispersion by a large-eddy simulation and a Lagrangian stochastic subgrid model ⋮ Langevin equation of a fluid particle in wall-induced turbulence ⋮ Lagrangian stochastic models for turbulent relative dispersion based on particle pair rotation ⋮ Reynolds number dependence of Lagrangian statistics in large numerical simulations of isotropic turbulence

Cites Work

• Lagrangian characteristics of turbulence and scalar transport in direct numerical simulations
• Eulerian acceleration statistics as a discriminator between Lagrangian stochastic models in uniform shear flow
• Criteria for the selection of stochastic models of particle trajectories in turbulent flows
• Molecular diffusion and viscous effects on concentration statistics in grid turbulence
• Estimation of the Kolmogorov constant (C) for the Lagrangian structure function, using a second-order Lagrangian model of grid turbulence
• Realizability of second-moment closure via stochastic analysis
• On the relationship between stochastic Lagrangian models of turbulence and second-moment closures

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