Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning

@article{Hajipour2020SimulationOT,
  title={Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning},
  author={Ali Hajipour and Arash Mirabdolah Lavasani and Mohammad Eftekhari Yazdi and Amir H. Mosavi and Shahaboddin Shamshirband and Kwok-wing Chau},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.01569}
}
In the present paper, an aerodynamic investigation of a high-speed train is performed. In the first section of this article, a generic high-speed train against a turbulent flow is simulated, numerically. The Reynolds-Averaged Navier-Stokes (RANS) equations combined with the SST turbulence model are applied to solve incompressible turbulent flow around a high-speed train. Flow structure, velocity and pressure contours and streamlines at some typical wind directions are the most important results… 

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