Machine learning methods for turbulence modeling in subsonic flows over airfoils

Understand

Reynolds-Averaged Navier-Stokes(RANS) method will still play a vital role in the following several decade in aerospace engineering.

• Although RANS models are widely used, empiricism and large discrepancies between models reduce the reliability of simulating complex flows.
• Therefore, in recent years, data-driven turbulence model has aroused widespread concern in fluid mechanics.
• Based on the experimental/numerical simulation results, this approach aims to modify or construct the turbulence model for specific purposes by machine learning technologies.