In this thesis we give an overview of recent stochastic Lagrangian models and present a new particle model for turbulent dispersion and chemical reactions. Our purpose is to investigate and assess the feasibility of the Lagrangian approach for modelling the turbulent dispersion and chemistry interactions. We emphasise the numerical aspects and advantages of the method for the implementation on (massively) parallel computers. In Chapter 1, a general introduction to the topic of modelling turbulent transport and chemistry is given. Before we direct most of our attention to Lagrangian modelling, we give an overview of Eulerian models for turbulent transport and chemistry, like direct numerical, large eddy and Reynolds averag...
Particle transport in atmospheric boundary layer turbulence is simulated using Lagrangian Stochastic...
A one-particle stochastic Lagrangian model in 2D and 3D dimensions is constructed for transport of p...
The Lagrangian description of turbulence is characterized by a unique conceptual simplicity and by a...
234 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Stochastic Lagrangian simulat...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
A poly-disperse particle description using a Lagrangian Stochastic (LS) framework coupled to Large E...
The physical similarity and mathematical equivalence of continuous diffusion and particle random wal...
Several reaction schemes, based on the conserved scalar theory, are implemented within a stochastic ...
A Lagrangian micro-mixing numerical model estimates the concentration statistics of reactive polluta...
Inertial particles in turbulent flows are characterised by preferential concentration and segregatio...
International audienceA Lagrangian Stochastic Model for the two-particles dispersion, aiming at simu...
A wide range of relative two-particle dispersion statistics from the Lagrangian Kinematic Simulation...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
The papers in this book describe the most widely applicable modeling approaches and are organized in...
Berlemont, a desjonqueres, p gouesbet, gA Lagrangian approach is used to describe particle dispersio...
Particle transport in atmospheric boundary layer turbulence is simulated using Lagrangian Stochastic...
A one-particle stochastic Lagrangian model in 2D and 3D dimensions is constructed for transport of p...
The Lagrangian description of turbulence is characterized by a unique conceptual simplicity and by a...
234 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Stochastic Lagrangian simulat...
Stochastic Lagrangian models for the relative dispersion of two particles in a stationary, spatially...
A poly-disperse particle description using a Lagrangian Stochastic (LS) framework coupled to Large E...
The physical similarity and mathematical equivalence of continuous diffusion and particle random wal...
Several reaction schemes, based on the conserved scalar theory, are implemented within a stochastic ...
A Lagrangian micro-mixing numerical model estimates the concentration statistics of reactive polluta...
Inertial particles in turbulent flows are characterised by preferential concentration and segregatio...
International audienceA Lagrangian Stochastic Model for the two-particles dispersion, aiming at simu...
A wide range of relative two-particle dispersion statistics from the Lagrangian Kinematic Simulation...
A computationally efficient model is introduced to account for the sub-grid scale velocities of trac...
The papers in this book describe the most widely applicable modeling approaches and are organized in...
Berlemont, a desjonqueres, p gouesbet, gA Lagrangian approach is used to describe particle dispersio...
Particle transport in atmospheric boundary layer turbulence is simulated using Lagrangian Stochastic...
A one-particle stochastic Lagrangian model in 2D and 3D dimensions is constructed for transport of p...
The Lagrangian description of turbulence is characterized by a unique conceptual simplicity and by a...