The thesis Digital Twin for the Aerodynamic Development of a MotoGP Motorcycle through Mesh Morphing and Reduced-Order Models, presented by Filippo Bardelloni at the University of Rome Tor Vergata, outlines a complete simulation-driven design workflow for aerodynamic optimization in motorsports. The work combines RBF Morph, Ansys Fluent, and Ansys Twin Builder to enable geometry parameterization, CFD simulations, and the creation of a reduced-order model (ROM) capable of real-time feedback on aerodynamic performance.

Key shape modifications were guided by a combination of CFD analysis and qualitative insight into the aerodynamic evolution of MotoGP motorcycles. Through mesh morphing and design space exploration, the workflow led to an effective redesign strategy for drag reduction. The ROM successfully provides an interactive, fast way to investigate the influence of shape parameters on the aerodynamic behavior, supporting qualitative understanding and enabling rapid iteration. This thesis is the result of a research collaboration with RBF Morph and builds upon the methodologies adopted in the work of Filippo Ricci, evolving from traditional CFD-based optimization workflows toward an interactive Digital Twin.

You can read the presentation and the full thesis.