Activity: Examinations and supervision › Supervisor activities
This project will investigate the utility of machine learning for the reconstruction of turbulence at unmeasured positions. The investigations will include wind-tunnel experiments to create a dataset upon which the methods will be tested. The machine learning techniques will be compared with existing, physics-based turbulence reconstruction methods. Further investigations using pressure-tap measurements on the wing or extra additions to the inflow may be included to the project, depending on time constraints.