Lagrangian particles with mixing. I. Simulating scalar transport

Klimenko, A. Y. (2009) Lagrangian particles with mixing. I. Simulating scalar transport. Physics of Fluids, 21 6: 065101-1-065101-17. doi:10.1063/1.3147925


Author Klimenko, A. Y.
Title Lagrangian particles with mixing. I. Simulating scalar transport
Journal name Physics of Fluids   Check publisher's open access policy
ISSN 1070-6631
1089-7666
Publication date 2009-06-01
Sub-type Article (original research)
DOI 10.1063/1.3147925
Open Access Status
Volume 21
Issue 6
Start page 065101-1
End page 065101-17
Total pages 17
Place of publication College Park, MD, U.S.A.
Publisher American Institute of Physics
Language eng
Subject 3104 Condensed Matter Physics
Abstract The physical similarity and mathematical equivalence of continuous diffusion and particle random walk forms one of the cornerstones of modern physics and the theory of stochastic processes. The randomly walking particles do not need to posses any properties other than location in physical space. However, particles used in many models dealing with simulating turbulent transport and turbulent combustion do posses a set of scalar properties and mixing between particle properties is performed to reflect the dissipative nature of the diffusion processes. We show that the continuous scalar transport and diffusion can be accurately specified by means of localized mixing between randomly walking Lagrangian particles with scalar properties and assess errors associated with this scheme. Particles with scalar properties and localized mixing represent an alternative formulation for the process, which is selected to represent the continuous diffusion. Simulating diffusion by Lagrangian particles with mixing involves three main competing requirements: minimizing stochastic uncertainty, minimizing bias introduced by numerical diffusion, and preserving independence of particles. These requirements are analyzed for two limited cases of mixing between two particles and mixing between a large number of particles. The problem of possible dependences between particles is most complicated. This problem is analyzed using a coupled chain of equations that has similarities with Bogolubov–Born–Green–Kirkwood–Yvon chain in statistical physics. Dependences between particles can be significant in close proximity of the particles resulting in a reduced rate of mixing. This work develops further ideas introduced in the previously published letter [ Phys. Fluids 19, 031702 (2007) ]. Paper I of this work is followed by Paper II [ Phys. Fluids 19, 065102 (2009) ] where modeling of turbulent reacting flows by Lagrangian particles with localized mixing is specifically considered. © 2009 American Institute of Physics
Keyword Chemically reactive flow
Random processes
Shear turbulence
Stochastic processes
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mechanical & Mining Engineering Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 03 Sep 2009, 17:52:32 EST by Mr Andrew Martlew on behalf of School of Mechanical and Mining Engineering