We study the clustering of inertial particles using a periodic kinematic simulation. A pre-defined Fourier based Eulerian flow field is established. The systematic Lagrangian tracking of particlesmakes it possible to identify the particles’ clustering patterns for different values of particle inertia and drift velocity. The different cases are characterised by different pairs of Stokes number (St) and Froude number (Fr)
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...
We study the clustering of inertial particles in turbulent flows and discuss its applications to dus...
This PhD thesis investigates the phenomena of preferential concentration and settling of sub-Kolmogo...
In this contribution we study the clustering of inertial particles using a periodic kinematic simula...
We study the clustering of inertial particles using a periodic kinematic simulation. Particles clus...
We present studies of the spatial clustering of inertial particles embedded in turbulent flow. A ma...
Clustering of inertial particles is important for many types of astrophysical and geophysical turbul...
We consider the dynamics of inertial and non-inertial particles in various flows. We investigate the...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
An initially uniform distribution of inertial particles will spontaneously organize themselves into ...
We present a numerical study of settling and clustering of small inertial particles in homogeneous a...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
Inertial particles transported in unsteady flows will not be able to follow the fluid motion perfect...
We report experimental evidence of spatial clustering of dense particles in homogenous, isotropic tu...
Holographic measurements of the clustering of electrically charged, inertial particles in homogenous...
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...
We study the clustering of inertial particles in turbulent flows and discuss its applications to dus...
This PhD thesis investigates the phenomena of preferential concentration and settling of sub-Kolmogo...
In this contribution we study the clustering of inertial particles using a periodic kinematic simula...
We study the clustering of inertial particles using a periodic kinematic simulation. Particles clus...
We present studies of the spatial clustering of inertial particles embedded in turbulent flow. A ma...
Clustering of inertial particles is important for many types of astrophysical and geophysical turbul...
We consider the dynamics of inertial and non-inertial particles in various flows. We investigate the...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
An initially uniform distribution of inertial particles will spontaneously organize themselves into ...
We present a numerical study of settling and clustering of small inertial particles in homogeneous a...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
Inertial particles transported in unsteady flows will not be able to follow the fluid motion perfect...
We report experimental evidence of spatial clustering of dense particles in homogenous, isotropic tu...
Holographic measurements of the clustering of electrically charged, inertial particles in homogenous...
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...
We study the clustering of inertial particles in turbulent flows and discuss its applications to dus...
This PhD thesis investigates the phenomena of preferential concentration and settling of sub-Kolmogo...