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Preprints of the Keldysh Institute of Applied Mathematics, 2022, 093, 18 pp.
DOI: https://doi.org/10.20948/prepr-2022-93 (Mi ipmp3118) 		 
Study of the turbulent velocity field evolutionary models based on the autocorrelation analysis

A. V. Alexandrov, L. W. Dorodnicyn, D. R. Kolyukhin
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DOI: https://doi.org/10.20948/prepr-2022-93
Abstract: This paper deals with a set of time-evolution formulations in algorithms for artificial turbulent field generation based on the Randomized Spectral Method (RSM). We analyze the autocorrelation functions associated with the models considered. The theoretical results are compared to the data from a test computation of turbulence in the cube.
Keywords: synthetic turbulence, Randomized Spectral Method, autocorrelation function.
Funding agency Grant number
Russian Foundation for Basic Research 19-51-80001_БРИКС_т
Ministry of Science and Higher Education of the Russian Federation АААА-А19-119102490039-7
Document Type: Preprint
Language: Russian
Citation: A. V. Alexandrov, L. W. Dorodnicyn, D. R. Kolyukhin, “Study of the turbulent velocity field evolutionary models based on the autocorrelation analysis”, Keldysh Institute preprints, 2022, 093, 18 pp.
Citation in format AMSBIB
\Bibitem{AleDorKol22}
\by A.~V.~Alexandrov, L.~W.~Dorodnicyn, D.~R.~Kolyukhin
\paper Study of the turbulent velocity field evolutionary models based on the autocorrelation analysis
\jour Keldysh Institute preprints
\yr 2022
\papernumber 093
\totalpages 18
\mathnet{http://mi.mathnet.ru/ipmp3118}
\crossref{https://doi.org/10.20948/prepr-2022-93}
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    		Препринты Института прикладной математики им. М. В. Келдыша РАН
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