Direct numerical simulation of horizontal open channel flow with finite-size, heavy particles at low solid volume fraction

By Aman G. Kidanemariam, Clemens Chan-Braun, Todor Doychev, Markus Uhlmann. 2013

165 citations recorded by the source corpus.

We have performed direct numerical simulation of turbulent open channel flow over a smooth horizontal wall in the presence of finite-size, heavy particles. The spherical particles have a diameter of approximately 7 wall units, a density of 1.7 times the fluid density and a solid volume fraction of 5 × 10−4. The value of the Galileo number is set to 16.5, while the Shields parameter measures approximately 0.2. Under these conditions, the particles are predominantly located in the vicinity of the bottom wall, where they exhibit strong preferential concentration which we quantify by means of Voronoi analysis and by computing the particle-conditioned concentration field. As observed in previous studies with similar parameter values, the mean streamwise particle velocity is smaller than that of the fluid. We propose a new definition of the fluid velocity ‘seen’ by finite-size particles based on an average over a spherical surface segment, from which we deduce in the present case that the particles are instantaneously lagging the fluid only by a small amount. The particle-conditioned fluid velocity field shows that the particles preferentially reside in the low-speed streaks, leading to the observed apparent lag. Finally, a vortex eduction study reveals that spanwise particle motion is significantly correlated with the presence of vortices with the corresponding sense of rotation which are located in the immediate vicinity of the near-wall particles.

Subfields: Computational Mechanics, Ecology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/8635acdfffd2585d7d530ad422b2690bf3927379

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

  1. Todor Doychev
  2. Markus Uhlmann
  3. Jochen Fröhlich
  4. Tobias Kempe
  5. Luca Brandt
  6. S. Subramaniam
  7. Francesco De Lucci
  8. S. Elghobashi

In Ecology

  1. Markus Uhlmann
  2. Todor Doychev

In Ocean Engineering

  1. Todor Doychev
  2. Markus Uhlmann
  3. Tobias Kempe
  4. Jochen Fröhlich
  5. Luca Brandt
  6. S. Subramaniam
  7. Francesco De Lucci
  8. S. Elghobashi

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