Enviromental control problems demand an increasing care in modelling diffusion in real turbulent flows. In this paper we will deal with a problem arising with the so-called "Lagrangian" or "random flight" models of dispersion. In such models some statistical informations about flow turbulence (mean value, variance and possibly skewness of the velocity component distributions) are used to compute the trajectories of a large number of marked fluid particles. The ensemble average of such trajectories allows an evaluation of the concentration of the marker. These dispersion models are specially appropriate for inhomogeneous turbulence fields, such as it occurs in the atmosphere over hills or near large buildings
International audienceThe effects of droplet inertia and turbulent mixing on the droplet number dens...
In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle...
Turbulent dispersion can be studied successfully by using Lagrangian particle models. In general, th...
We derive a comprehensive statistical model for dispersion of passive or almost passive admixture pa...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
Berlemont, a desjonqueres, p gouesbet, gA Lagrangian approach is used to describe particle dispersio...
A Lagrangian stochastic particle model driven by observed winds from a net-work of 13 sonic anemomet...
A deterministic multiscale dynamical system is introduced and discussed as a prototype model for rel...
The stochastic trajectory-based (Lagrangian) approach has gained increasing importance and sophistic...
This paper describes a numerical modeling approach that can be used to provide estimates of air conc...
Dispersed multiphase turbulent flows are present in many industrial and commercial applications like...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An...
Basic concepts and definitions relative to Lagrangian Particle Dispersion Models (LPDMs)for the desc...
The paper is focused on the simulation and modeling of the dispersion from an instantaneous source o...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
International audienceThe effects of droplet inertia and turbulent mixing on the droplet number dens...
In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle...
Turbulent dispersion can be studied successfully by using Lagrangian particle models. In general, th...
We derive a comprehensive statistical model for dispersion of passive or almost passive admixture pa...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
Berlemont, a desjonqueres, p gouesbet, gA Lagrangian approach is used to describe particle dispersio...
A Lagrangian stochastic particle model driven by observed winds from a net-work of 13 sonic anemomet...
A deterministic multiscale dynamical system is introduced and discussed as a prototype model for rel...
The stochastic trajectory-based (Lagrangian) approach has gained increasing importance and sophistic...
This paper describes a numerical modeling approach that can be used to provide estimates of air conc...
Dispersed multiphase turbulent flows are present in many industrial and commercial applications like...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.An...
Basic concepts and definitions relative to Lagrangian Particle Dispersion Models (LPDMs)for the desc...
The paper is focused on the simulation and modeling of the dispersion from an instantaneous source o...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
International audienceThe effects of droplet inertia and turbulent mixing on the droplet number dens...
In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle...
Turbulent dispersion can be studied successfully by using Lagrangian particle models. In general, th...