DISPERSED PHASE SINGLE-PARTICLE LAGRANGIAN AND CORRELATION DIMENSIONAL STATISTICS IN KINEMATICALLY SIMULATED TURBULENCE

摘要

Kinematic simulation (KS) is a means of reducing the solution of the Navier-Stokes equations to a manageable number of degrees of freedom, and has attracted attention due to the promise of bringing turbulence simulation within the reach of computational tractability. Such models have also been applied in particle-laden flows, due to their ability to enforce spatial organization of the fluid velocity field. A critical evaluation of KS is presented; in particular, we examine its ability to reproduce single-particle Lagrangian statistics and the desired spatial organization of an ensemble of inertial particles. Some computational results are presented, in which Lagrangian particles are transported alternatively by (1) turbulence generated by direct numerical simulation (DNS) of the incompressible Navier-Stokes equations, and (2) KS. We find that KS reproduces clustering of inertial particles and the intermittent simulated turbulent velocity signal, but not to the same extent as is seen in the DNS.