Numerical Experiments for Quantification of Small-Scale Effects in Particle-Laden Turbulent Flow

Ch. Gobert () and M. Manhart
Additional contact information
Ch. Gobert: TU München, FG Hydromechanik
M. Manhart: TU München, FG Hydromechanik

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 77-88 from Springer

Abstract: Abstract The present work contains results from numerical simulations of particle-laden isotropic turbulence at high Reynolds and Stokes numbers (up to Re λ =265 and St=100 based on the Taylor length scale and Kolmogorov time scale, respectively). The focus is on the effect of small-scale turbulence on the particles, a modelling issue for LES of particle-laden flow. The results show that in dependence of Stokes number, particles tend to cluster in regions where kinetic energy of the unresolved scales is lower than average. This effect was so far neglected in most LES models for particle-laden flow. Furthermore, the results show that locations for particle clustering and mechanisms leading to clustering are dominated by large-scale dynamics, a promising result for LES.

Keywords: High Reynolds Number; Isotropic Turbulence; Particle Cluster; Stokes Number; Large Eddy Simulation Model (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-13872-0_7

Ordering information: This item can be ordered from
http://www.springer.com/9783642138720

DOI: 10.1007/978-3-642-13872-0_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().