Simulation of a High-Speed Train against a Turbulent Air Flow using Computational Fluid Mechanics Method and Multi-Layer Feed-Forward Neural Network Algorithm

In this study, the aerodynamic performance of a high-speed train against a turbulent air flow is examined numerically from two approaches. First, using computational fluid dynamics, the parameters of aerodynamics and fluid flow are analyzed and then, using Multi-Layer Feed-Forward Neural Network (ML...

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Auteurs principaux:	Alireza Hajipour, Arash Mirabdolah Lavasani, Mohammad Eftekhari Yazdi
Format:	Artigo
Langue:	Persa
Publié:	Semnan University 2021-12-01
Collection:	مجله مدل سازی در مهندسی
Sujets:	cfd aerodynamics high-speed train k-ω (sst) turbulence model neural network algorithm
Accès en ligne:	https://modelling.semnan.ac.ir/article_5737_79ef57a03d85a64dcfb97fa86e20fae3.pdf
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