My PhD thesis focused on improving the accuracy of computational fluid dynamics simulations for complex turbulent flows. By strategically collecting data and integrating machine learning with traditional turbulence models, I enhanced RANS predictions for flows involving adverse pressure gradients and separations. I also explored applying the enhanced turbulence models for aerodynamic shape optimisation in complex flow. Supervisors:
Dr. Sean R Anderson and
Prof. Ning Qin.