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Heavy particles in a persistent random flow with traps

Journal article
Authors Jan Meibohm
Bernhard Mehlig
Published in Physical Review E
Volume 100
Issue 2
ISSN 2470-0045
Publication year 2019
Published at Department of Physics (GU)
Language en
Keywords inertial particles, aggregation, collision, Physics
Subject categories Physical Sciences


We study a one-dimensional model for heavy particles in a compressible fluid. The fluid-velocity field is modeled by a persistent Gaussian random function, and the particles are assumed to be weakly inertial. Since one-dimensional fluid-velocity fields are always compressible, the model exhibits spatial trapping regions where particles tend to accumulate. We determine the statistics of fluid-velocity gradients in the vicinity of these traps and show how this allows one to determine the spatial Lyapunov exponent and the rate of caustic formation. We compare our analytical results with numerical simulations of the model and explore the limits of validity of the theory. Finally, we discuss implications for higher-dimensional systems.

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