Published February 2018 | Version v1
Journal article

Stochastic algorithm for simulating gas transport coefficients

  • 1. Novosibirsk State University of Architecture and Civil Engineering, 113, Leningradskaya St., Novosibirsk, 630008 (Russian Federation)
  • 2. Novosibirsk State Technical University, 20, Karla Marksa Av., Novosibirsk, 630073 (Russian Federation)

Description

Highlights: • We created a molecular algorithm for modeling the transport processes in gases. • It is used for modeling viscosity and diffusion. • This algorithm is used for dense and rarefied gases. • The accuracy of transport coefficients is comparable to the experimental. The aim of this paper is to create a molecular algorithm for modeling the transport processes in gases that will be more efficient than molecular dynamics method. To this end, the dynamics of molecules are modeled stochastically. In a rarefied gas, it is sufficient to consider the evolution of molecules only in the velocity space, whereas for a dense gas it is necessary to model the dynamics of molecules also in the physical space. Adequate integral characteristics of the studied system are obtained by averaging over a sufficiently large number of independent phase trajectories. The efficiency of the proposed algorithm was demonstrated by modeling the coefficients of self-diffusion and the viscosity of several gases. It was shown that the accuracy comparable to the experimental one can be obtained on a relatively small number of molecules. The modeling accuracy increases with the growth of used number of molecules and phase trajectories.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2017.11.001

Additional details

Identifiers

DOI
10.1016/j.jcp.2017.11.001;
PII
S0021999117308288;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
355
Journal Page Range
p. 95-103
ISSN
0021-9991
CODEN
JCTPAH

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52118889
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCURACY; ALGORITHMS; MOLECULAR DYNAMICS METHOD; MOLECULES; RAREFIED GASES; SELF-DIFFUSION; SIMULATION; STOCHASTIC PROCESSES; TRAJECTORIES; VISCOSITY
Descriptors DEC
CALCULATION METHODS; DIFFUSION; FLUIDS; GASES; MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2017 Elsevier Inc. All rights reserved.