Simulated statistics of polydisperse sedimenting inertial particles in a turbulent flow under experimental conditions

ORAL

Abstract

In recent years, point-particle based or hybrid direct numerical simulations (DNS) have increasingly been used to study pair statistics of inertial particles relevant to turbulent collision of cloud droplets. Equivalent experiment data are rare but are slowly becoming available. In this talk, we will discuss simulated statistics of sedimenting inertial particles under conditions similar to our parallel wind-tunnel experiment (to be reported here by Bateson et al.). The key parameters to be matched are flow Reynolds number, dissipation rate, particle Stokes number, and dimensionless settling velocity. A prescribed droplet size distribution will be used in the simulation to reproduce the polydisperse condition in the experiment. High-resolution DNS will be used to maximize the computational domain size. Single-particle and particle-pair statistics (e.g., fluctuation velocities, radial distribution function, relative velocity statistics) will be compared to the experimental data. Statistics obtained from lower dimensions will be linked to statistics in three dimensions.

*Work supported by NSF and NCAR.

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Authors

  • Lian-Ping Wang

    • University of Delaware
    • U. Delaware

  • Hossein Parishani

    • U. Delaware

  • Bogdan Rosa

    • Institute of Meteorology and Water Management, Poland

  • Alberto Aliseda

    • University of Washington
    • University of Washington - Dept. of Mechanical Engineering
    • U of Washington
    • U. Washington
    • Department of Mechanical Engineering, University of Washington

  • Alberto Aliseda

    • University of Washington
    • University of Washington - Dept. of Mechanical Engineering
    • U of Washington
    • U. Washington
    • Department of Mechanical Engineering, University of Washington

  • Wojciech Grabowski

    • NCAR