533.6.011.5:004.622:004.855.5 Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods

Kotenev V. P. (Bauman Moscow State Technical University), Puchkov A. S. (Bauman Moscow State Technical University), Sapozhnikov D. A. (Bauman Moscow State Technical University), Tonkih E. G. (Bauman Moscow State Technical University)

SHEPARD’S METHOD, SUPERSONIC GAS FLOW, MULTIVARIABLE REGRESSION


doi: 10.18698/2309-3684-2017-4-6072


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.


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Kotenev V.P., Puchkov A.S., Sapozhnikov D.A., Tonkikh E.G. Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods. Mathematical Modeling and Computational Methods, 2017, №4 (16), pp. 60-72



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