An efficient parallel simulation of interacting inertial particles in homogeneous isotropic turbulence

  • Authors:

  • Ryo Onishi;Keiko Takahashi;J. C. Vassilicos

  • Affiliations:

  • Earth Simulator Center, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan and Department of Aeronautics, Imperial College L ...;Earth Simulator Center, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan;Department of Aeronautics, Imperial College London, SW7 2AZ, UK

  • Venue:
  • Journal of Computational Physics
  • Year:
  • 2013

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Abstract

This study has conducted parallel simulations of interacting inertial particles in statistically-steady isotropic turbulence using a newly-developed efficient parallel simulation code. Flow is computed with a fourth-order finite-difference method and particles are tracked with the Lagrangian method. A binary-based superposition method has been developed and implemented in the code in order to investigate the hydrodynamic interaction among many particles. The code adopts an MPI library for a distributed-memory parallelization and is designed to minimize the MPI communication, which leads to a high parallel performance. The code has been run to obtain collision statistics of a monodisperse system with St=0.4 particles, where St is the Stokes number representing the particle relaxation time relative to the Kolmogorov time. The attained Taylor-microscale based Reynolds number R"@l ranges from 54.9 to 527. The largest simulation computed the flow on 2000^3 grids and 1000^3 (one billion) particles. Numerical results have shown that the collision kernel increases for R"@l