Heavy particle concentration in turbulence at dissipative and inertial scales

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 RevTeX pgs + 4 color Figures included, 1 figure eliminated second part of the paper completely revised

Scientific paper

10.1103/PhysRevLett.98.084502

Spatial distributions of heavy particles suspended in an incompressible isotropic and homogeneous turbulent flow are investigated by means of high resolution direct numerical simulations. In the dissipative range, it is shown that particles form fractal clusters with properties independent of the Reynolds number. Clustering is there optimal when the particle response time is of the order of the Kolmogorov time scale $\tau_\eta$. In the inertial range, the particle distribution is no longer scale-invariant. It is however shown that deviations from uniformity depend on a rescaled contraction rate, which is different from the local Stokes number given by dimensional analysis. Particle distribution is characterized by voids spanning all scales of the turbulent flow; their signature in the coarse-grained mass probability distribution is an algebraic behavior at small densities.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Heavy particle concentration in turbulence at dissipative and inertial scales does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Heavy particle concentration in turbulence at dissipative and inertial scales, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Heavy particle concentration in turbulence at dissipative and inertial scales will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-567594

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.