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Turbulence modulation in particle-laden stationary homogeneous isotropic turbulence using one-dimensional turbulence

Marco Fistler*

Alan Kerstein

David O. Lignell

Michael Oevermann

  • Chalmers University of Technology, Gothenburg 41296, Sweden

  • Consultant, 72 Lomitas Road, Danville, California 94526, USA

  • Brigham Young University, Provo, Utah 84602, USA

  • Brandenburgische Technische Universität Cottbus-Senftenberg 01968, Germany and Chalmers University of Technology, Gothenburg 41296, Sweden

  • *marco.fistler@chalmers.se
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Phys. Rev. Fluids 5, 044308 – Published 28 April, 2020

DOI: https://doi.org/10.1103/PhysRevFluids.5.044308

Abstract

Turbulence modulation in particle-laden stationary homogeneous isotropic turbulence is investigated using one-dimensional turbulence (ODT), a low-dimensional stochastic flow simulation model. For this purpose, ODT is extended in two ways. First, a forcing scheme that maintains statistical stationarity is introduced. Unlike direct numerical simulation (DNS) of forced turbulence, the ODT framework accommodates forcing that is not directly coupled to the momentum equation. For given forcing the ODT energy dissipation rate is therefore the same in particle-laden cases as in the corresponding single-phase reference case. Second, previously implemented one-way-coupled particle phenomenology is extended to two-way coupling using the general ODT methodology for flow modulation through interaction with any specified energy and momentum sources and sinks. As in a DNS comparison case for Reλ=70, turbulence modulation is diagnosed primarily on the basis of the fluid-phase kinetic-energy spectrum. Because ODT involves subprocesses with straightforward physical interpretations, the ODT mechanisms of particle-induced turbulence modulation are clearly identified and they are plausibly relevant to particle-laden Navier-Stokes turbulence. ODT results for the ratio of particle-phase and fluid-phase kinetic energies as a function of particle Stokes number and mass loading are reported for the purpose of testing these predictions in the future when these quantities are evaluated experimentally or using DNS.

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Phys. Rev. Fluids 5, 044308– Published 28 April, 2020
  • Received 4 October 2019
  • Accepted 26 March 2020
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