Airfoil Analysis and Optimization Using a Petrov–Galerkin Finite Element and Machine Learning
Airfoil Analysis and Optimization Using a Petrov–Galerkin Finite Element and Machine Learning
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Basel: MDPI AG
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English
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Basel: MDPI AG
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For the analysis of low-speed incompressible fluid dynamics with turbulence around airfoils, we developed a finite element formulation based on a stabilized pressure and velocity formulation. To shape the optimization of bidimensional airfoils, this formulation is applied using machine learning (TensorFlow) and public domain global optimization alg...
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Airfoil Analysis and Optimization Using a Petrov–Galerkin Finite Element and Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_f6a24db339a7445abe229d3b2fdc8ed7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f6a24db339a7445abe229d3b2fdc8ed7
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ISSN
2226-4310
E-ISSN
2226-4310
DOI
10.3390/aerospace10070638
