A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

  title={A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows},
  author={Alessio Innocenti and Rodney O. Fox and Maria Vittoria Salvetti and Sergio Chibbaro},
  journal={Journal of Fluid Mechanics},
  pages={449 - 489}
Inertial particles in turbulent flows are characterised by preferential concentration and segregation and, at sufficient mass loading, dense particle clusters may spontaneously arise due to momentum coupling between the phases. These clusters, in turn, can generate and sustain turbulence in the fluid phase, which we refer to as cluster-induced turbulence (CIT). In the present work, we tackle the problem of developing a framework for the stochastic modelling of moderately dense particle-laden… 
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  • R. Fox
  • Physics, Engineering
    Journal of Fluid Mechanics
  • 2014
Abstract Starting from a kinetic theory (KT) model for monodisperse granular flow, the exact Reynolds-averaged (RA) equations are derived for the particle phase in a collisional fluid–particle flow.
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