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Matematicheskoe Modelirovanie i Chislennye Metody, 2017, Issue 16, Pages 60–72
DOI: https://doi.org/10.18698/2309-3684-2017-4-6072
(Mi mmcm115)
 

Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods

V. P. Kotenevab, A. S. Puchkovab, D. A. Sapozhnikovab, E. G. Tonkikhab

a Bauman Moscow State Technical University
b JSC "MIC "NPO Mashinostroyenia"
Abstract: The article introduces a dependency for the pressure distribution in the disturbed region near the sphere streamlined by the flow of the supersonic inviscid gas, obtained when modifying the Shepard’s Method. We use known ratios for the pressure on the body and the shockwave as well as data from the numerical experiments. We have compared the results with the data not used in the learning process of the dependency coefficients. This comparison proves high confidence of the model obtained.
Keywords: Shepard’s method, supersonic gas flow, multivariable regression.
Document Type: Article
UDC: 533.6.011.5:004.622:004.855.5
Language: Russian
Citation: V. P. Kotenev, A. S. Puchkov, D. A. Sapozhnikov, E. G. Tonkikh, “Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods”, Mat. Mod. Chisl. Met., 2017, no. 16, 60–72
Citation in format AMSBIB
\Bibitem{KotPucSap17}
\by V.~P.~Kotenev, A.~S.~Puchkov, D.~A.~Sapozhnikov, E.~G.~Tonkikh
\paper Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods
\jour Mat. Mod. Chisl. Met.
\yr 2017
\issue 16
\pages 60--72
\mathnet{http://mi.mathnet.ru/mmcm115}
\crossref{https://doi.org/10.18698/2309-3684-2017-4-6072}
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    Математическое моделирование и численные методы
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