Statistics of particle dispersion in direct numerical simulations of wall-bounded turbulence: Results of an international collaborative benchmark test

  • Marchioli C
  • Soldati A
  • Kuerten J
 et al. 
  • 94


    Mendeley users who have this article in their library.
  • 124


    Citations of this article.


In this paper the results of an international collaborative test case relative to the production of a direct numerical simulation and Lagrangian particle tracking database for turbulent particle dispersion in channel flow at low Reynolds number are presented. The objective of this test case is to establish a homogeneous source of data relevant to the general problem of particle dispersion in wall-bounded turbulence. Different numerical approaches and computational codes have been used to simulate the particle-laden flow and calculations have been carried on long enough to achieve a statistically steady condition for particle distribution. In such stationary regime, a comprehensive database including both post-processed statistics and raw data for the fluid and for the particles has been obtained. The complete datasets can be downloaded from the web at In this paper the most relevant velocity statistics (for both phases) and particle distribution statistics are discussed and benchmarked by direct comparison between the different numerical predictions. © 2008 Elsevier Ltd. All rights reserved.

Author-supplied keywords

  • Collaborative test case
  • Direct numerical simulation
  • Lagrangian particle tracking
  • Steady-state concentration database
  • Two-phase gas-solid flow

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • alfredo soldatiUniversita degli Studi di Udine

  • C. Marchioli

  • J. G.M. Kuerten

  • B. Arcen

  • A. Tanière

  • G. Goldensoph

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free