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Computational fluctuating fluid dynamics

Published online by Cambridge University Press:  26 August 2010

John B. Bell ,
Alejandro L. Garcia  and
Sarah A. Williams
John B. Bell
Affiliation:
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA.
Alejandro L. Garcia
Affiliation:
Department of Physics, San Jose State University, San Jose, California, 95192, USA. algarcia@algarcia.org
Sarah A. Williams
Affiliation:
Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill NC 27599, USA.
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Abstract

This paper describes the extension of arecently developed numerical solver for the Landau-LifshitzNavier-Stokes (LLNS) equations to binary mixtures in threedimensions. The LLNS equations incorporate thermal fluctuations intomacroscopic hydrodynamics by using white-noise fluxes. Thesestochastic PDEs are more complicated in three dimensions due to thetensorial form of the correlations for the stochastic fluxes and inmixtures due to couplings of energy and concentration fluxes (e.g.,Soret effect). We present various numerical tests of systems in andout of equilibrium, including time-dependent systems, anddemonstrate good agreement with theoretical results and molecularsimulation.

Keywords

Fluctuating hydrodynamicsLandau-Lifshitz-Navier-Stokes equationsstochastic partial differential equationsfinite difference methodsbinary gas mixtures

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