Fractal clustering of inertial particles in random flows
By J. Bec. 2003
172 citations recorded by the source corpus.
It is shown that preferential concentrations of inertial (finite-size) particle suspensions in turbulent flows follow from the dissipative nature of their dynamics. In phase space, particle trajectories converge toward a dynamical fractal attractor. Below a critical Stokes number (non-dimensional viscous friction time), the projection on position space is a dynamical fractal cluster; above this number, particles are space filling. Numerical simulations and semi-heuristic theory illustrating such effects are presented for a simple model of inertial particle dynamics.
Subfields: Computational Mechanics, Condensed Matter Physics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/90e383d17e88a0743954b73aa84f297fda9df4ec
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Luca Biferale
- Federico Toschi
- J. Bec
- Guido Boffetta
- Antonio Celani
- Detlef Lohse
- Lance R. Collins
- A. Bragg
In Condensed Matter Physics
In Ocean Engineering
- Federico Toschi
- Luca Biferale
- Guido Boffetta
- Lance R. Collins
- Detlef Lohse
- A. Bragg
- Peter J. Ireland
Citations in the corpus
- Acceleration statistics of heavy particles in turbulence (2005, background): “Two concurrent mechanisms lead to the above results: preferential concentration of particles, very effective at small St , and filtering induced by the particle response time, that takes over at larger St .”
- Point-source inertial particle dispersion (2009, unknown): “We neglect some corrective terms (essentially due to Basset, Faxen, Oseen and Saffman (Maxey and Riley 1983 )) but we take into account the added-mass effect in a simplified way, basically replacing the fluid acceleration with the corresponding velocity derivative computed along the particle trajec”