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Turbulence Unsteadiness Drives Extreme Clustering.

F Zapata1,2, S Angriman1,2, A Ferran3,4

  • 1Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, Ciudad Universitaria, 1428 Buenos Aires, Argentina.

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This summary is machine-generated.

Turbulence unsteadiness significantly impacts particle clustering. This study reveals extreme clustering in natural flows due to unsteady turbulence, exceeding predictions from averaged effects.

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Area of Science:

  • Fluid dynamics
  • Turbulence research
  • Particle-laden flows

Background:

  • Turbulence is often studied as a steady-state phenomenon.
  • Particle clustering in turbulent flows is a key area of research.
  • The influence of turbulence unsteadiness on particle behavior is not fully understood.

Purpose of the Study:

  • To investigate the effect of unsteady turbulence on particle clustering.
  • To identify correlations between flow parameters and particle cluster formation.
  • To provide a dimensional argument for observed correlations.

Main Methods:

  • Direct numerical simulations (DNS) were employed.
  • A steady forcing generated an unsteady large-scale flow.
  • Analysis focused on instantaneous turbulence parameters and particle clustering.

Main Results:

  • Turbulence unsteadiness drastically affects turbulence parameters and particle clustering.
  • Particle clustering correlates with the instantaneous Taylor-based flow Reynolds number.
  • Particle clustering anticorrelates with the instantaneous turbulent energy dissipation constant.

Conclusions:

  • Unsteadiness in turbulence is a critical factor in particle cluster formation.
  • Extreme particle clustering can occur in natural unsteady flows.
  • Observed clustering is more pronounced than predicted by averaged inertial turbulence effects.