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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.
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
Linking options:
https://www.mathnet.ru/eng/mmcm115 https://www.mathnet.ru/eng/mmcm/y2017/i16/p60
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Statistics & downloads: |
Abstract page: | 214 | Full-text PDF : | 109 |
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