Knut Erik Teigen Giljarhus

Machine learning surrogate model for athlete aerodynamics with application to cycling

Abstract Aerodynamic drag dominates the resistive forces in many sports at racing speeds, and small athlete posture changes can produce practically meaningful changes in performance. Standard approaches like field testing, wind-tunnel testing and computational fluid dynamics (CFD...