Heavy particle clustering in turbulence is discussed from both phenomenological and analytical points of view, where the -4/3 power law of the pair-correlation function is obtained in the inertial range. A closure theory explains the power law in terms of the balance between turbulence mixing and preferential-concentration mechanism. The obtained -4/3 power law is supported by a direct numerical simulation of particle-laden turbulence
International audienceParticle laden flows are of relevant interest in many industrial and natural s...
Clustering of inertial particles is important for many types of astrophysical and geophysical turbul...
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
We report experimental evidence of spatial clustering of dense particles in homogenous, isotropic tu...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
Preferential concentration of inertial particles in turbulent flow is studied by high resolution dir...
Spatial distributions of heavy particles suspended in an incompressible isotropic and homogeneous tu...
We analyze one-way coupling DNS of heavy particles in homogeneous turbulent flow over a large range ...
Turbulent fluids laden with small, heavy particles are common in nature. Prominent examples of such ...
We present studies of the spatial clustering of inertial particles embedded in turbulent flow. A ma...
Particle-laden flows are of relevant interest in many industrial and natural systems. When the carri...
International audienceThe nonlinear dynamics of inertial particles in high Reynolds number turbulenc...
The relative dispersion of pairs of inertial particles in incompressible, homogeneous, and isotropic...
We study the clustering of inertial particles in turbulent flows and discuss its applications to dus...
International audienceParticle laden flows are of relevant interest in many industrial and natural s...
Clustering of inertial particles is important for many types of astrophysical and geophysical turbul...
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
We report experimental evidence of spatial clustering of dense particles in homogenous, isotropic tu...
Particles that are heavy compared to the fluid in which they are embedded (inertial particles) tend ...
Preferential concentration of inertial particles in turbulent flow is studied by high resolution dir...
Spatial distributions of heavy particles suspended in an incompressible isotropic and homogeneous tu...
We analyze one-way coupling DNS of heavy particles in homogeneous turbulent flow over a large range ...
Turbulent fluids laden with small, heavy particles are common in nature. Prominent examples of such ...
We present studies of the spatial clustering of inertial particles embedded in turbulent flow. A ma...
Particle-laden flows are of relevant interest in many industrial and natural systems. When the carri...
International audienceThe nonlinear dynamics of inertial particles in high Reynolds number turbulenc...
The relative dispersion of pairs of inertial particles in incompressible, homogeneous, and isotropic...
We study the clustering of inertial particles in turbulent flows and discuss its applications to dus...
International audienceParticle laden flows are of relevant interest in many industrial and natural s...
Clustering of inertial particles is important for many types of astrophysical and geophysical turbul...
Clustering of droplets in cloud due to turbulence is be-lieved to have important consequences for wa...