Stochastic equations with multifractal random increments for modeling turbulent dispersion

DOI10.1063/1.868358zbMath0830.76038OpenAlexW2069397238MaRDI QIDQ4837457

Brian L. Sawford, M. S. Borgas

Publication date: 28 January 1996

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

Full work available at URL: https://doi.org/10.1063/1.868358

zbMATH Keywords

multifractal scalingalmost-Gaussian mean- concentration distributionsLagrangian intermittency effectsone-particle dispersionThomson's well-mixed criterion

Mathematics Subject Classification ID

Stochastic analysis applied to problems in fluid mechanics (76M35) Isotropic turbulence; homogeneous turbulence (76F05)

Related Items (16)

A family of stochastic models for two-particle dispersion in isotropic homogeneous stationary turbulence ⋮ Direct numerical simulation of two-particle relative diffusion in isotropic turbulence ⋮ Note on the conditional moment closure in turbulent shear flows ⋮ Modelling Lagrangian velocity and acceleration in turbulent flows as infinitely differentiable stochastic processes ⋮ Quadratic Markov modeling for intermittent turbulence ⋮ Molecular diffusion and viscous effects on concentration statistics in grid turbulence ⋮ Turbulent dispersion with broken reflectional symmetry ⋮ Flatness of tracer density profile produced by a point source in turbulence ⋮ On the simulation of particle trajectories in turbulent flows ⋮ Lagrangian stochastic modeling of anomalous diffusion in two-dimensional turbulence ⋮ On the application of nonextensive statistics to Lagrangian turbulence ⋮ The pdf approach to turbulent polydispersed two-phase flows ⋮ The Lagrangian spectral relaxation model of the scalar dissipation in homogeneous turbulence ⋮ Conditional methods in application for Lagrangian modeling ⋮ Langevin equation of a fluid particle in wall-induced turbulence ⋮ Reynolds number dependence of Lagrangian statistics in large numerical simulations of isotropic turbulence

Cites Work

• The velocity-dissipation probability density function model for turbulent flows
• Criteria for the selection of stochastic models of particle trajectories in turbulent flows
• Two-particle description of turbulence, Markov property, and intermittency
• Some specific features of atmospheric tubulence
• The multifractal lagrangian nature of turbulence
• The multifractal nature of turbulent energy dissipation

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