We investigate the performance of standard stochastic models of single-particle dispersion
in two-dimensional turbulence. Owing to the presence of coherent vortices, particle …

The statistical properties of turbulent fluids depend on how local the energy transfers among
scales are, ie whether the energy transfer at some given scale is due to the eddies at that …

We use Lagrangian stochastic models and direct numerical simulation for stationary
isotropic turbulence to calculate backwards relative dispersion statistics, that is, the statistics …

We investigate Lagrangian relative dispersion in direct numerical simulation of two-
dimensional inverse cascade turbulence. The analysis is performed by using both standard …

A new model for Lagrangian particle-pair separation in turbulent flows is developed and
compared with data from direct numerical simulations (DNS) of isotropic turbulence. The …

A family of Lagrangian stochastic models for the joint motion of particle pairs in isotropic
homogeneous stationary turbulence is considered. The Markov assumption and well-mixed …

Abstracts—A new stochastic model (a diffusion approximation) for the relative dispersion of
pair of particles in high-Reynolds-number incompressible turbulence is proposed. An …

The relative dispersion of fluid particle pairs in isotropic turbulence is studied using direct
numerical simulation, in greater detail and covering a wider Reynolds number range than …

Two-particle dispersion is of central importance to a wide range of natural and industrial
applications. It has been an active area of research since seminal paper. This review …

The statistical geometry of dispersing Lagrangian clusters of four particles (tetrahedra) is
studied by means of high-resolution direct numerical simulations of three-dimensional …