4.7 Article

Clustering of vertically constrained passive particles in homogeneous isotropic turbulence

期刊

PHYSICAL REVIEW E
卷 91, 期 5, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.91.053002

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资金

  1. Foundation for Fundamental Research on Matter, Netherlands Organisation for Scientific Research [11PR2841, FP112]
  2. European Research Council [339032]
  3. European Cooperation in Science and Technology (COST) Actions [MP0806, MP1305]
  4. European Research Council (ERC) [339032] Funding Source: European Research Council (ERC)

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We analyze the dynamics of small particles vertically confined, by means of a linear restoring force, to move within a horizontal fluid slab in a three-dimensional (3D) homogeneous isotropic turbulent velocity field. The model thatwe introduce and study is possibly the simplest description for the dynamics of small aquatic organisms that, due to swimming, active regulation of their buoyancy, or any other mechanism, maintain themselves in a shallow horizontal layer below the free surface of oceans or lakes. By varying the strength of the restoring force, we are able to control the thickness of the fluid slab in which the particles can move. This allows us to analyze the statistical features of the system over a wide range of conditions going from a fully 3D incompressible flow (corresponding to the case of no confinement) to the extremely confined case corresponding to a two-dimensional slice. The background 3D turbulent velocity field is evolved by means of fully resolved direct numerical simulations. Whenever some level of vertical confinement is present, the particle trajectories deviate from that of fluid tracers and the particles experience an effectively compressible velocity field. Here, we have quantified the compressibility, the preferential concentration of the particles, and the correlation dimension by changing the strength of the restoring force. The main result is that there exists a particular value of the force constant, corresponding to a mean slab depth approximately equal to a few times the Kolmogorov length scale eta, that maximizes the clustering of the particles.

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