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Matematicheskoe modelirovanie, 2017, Volume 29, Number 3, Pages 113–122 (Mi mm3830)  

This article is cited in 6 scientific papers (total in 6 papers)

Stochastic simulation of rarefied gas transport coefficients

V. Ya. Rudyaka, E. V. Lezhnyovab

a Novosibirsk State Architectural University
b Novosibirsk State Technical University
Full-text PDF (356 kB) Citations (6)
References:
Abstract: We propose the new stochastic algorithm for computation of the transport coefficients of rarefied gas, which is based on stochastic modeling of phase trajectories considered molecular system. This algorithm does not use the formulas of the kinetic theory of gases for the transport coefficients. The hard spheres potential is used. The number of operations is proportional to the number of used molecules. Naturally in this algorithm the conservation laws are performed. The efficiency of the algorithm is demonstrated by the example of the viscosity and diffusion coefficient of several gases. It was shown that the accuracy of the order of 1–2% can be obtained by using a relatively small number of molecules. The accuracy dependence on the number of used molecules, statistics and calculation time is analyzed.
Keywords: rarefied gas, molecular modeling, transport processes, diffusion, viscosity, stochastic dynamics.
Funding agency Grant number
Russian Science Foundation 19-14-00312
Received: 25.11.2015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. Ya. Rudyak, E. V. Lezhnyov, “Stochastic simulation of rarefied gas transport coefficients”, Matem. Mod., 29:3 (2017), 113–122
Citation in format AMSBIB
\Bibitem{RudLez17}
\by V.~Ya.~Rudyak, E.~V.~Lezhnyov
\paper Stochastic simulation of rarefied gas transport coefficients
\jour Matem. Mod.
\yr 2017
\vol 29
\issue 3
\pages 113--122
\mathnet{http://mi.mathnet.ru/mm3830}
\elib{https://elibrary.ru/item.asp?id=28922651}
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  • https://www.mathnet.ru/eng/mm3830
  • https://www.mathnet.ru/eng/mm/v29/i3/p113
  • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
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    Full-text PDF :141
    References:57
    First page:9
     
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