Abstract

: Nowadays, professional and ambitious amateur athletes are seeking small aerodynamic improvements relying on wind tunnel balance measurements, velodrome tests, and outdoor i¬eld tests. Many new companies have specialized in offering such testing days, which underlines the growing importance and demand on improving the aerodynamic efi¬ciency. However, one of the big drawbacks of these traditional testing methods is that they act as a black box, as only overall drag data can be extracted, without visualizing the i¬‚ow structures around the cyclist, which could be used to identify the region that offers the greatest potential. In order to gain further insight into the i¬‚ow around the cyclist, other approaches need to be employed. One of the methods is CFD (Computational Fluid Dynamics) which allows simulating the airi¬‚ow around the cyclist numerically. Even though this method shows the capability of simulating complex i¬‚ows in sports, as shown in Gardan et al. (2017), it is often limited to an idealized environment without modelling the transiting behaviour occurring in most sports, like the pedalling motion of a cyclist. Recently a new testing method has been developed  that quantifies the on-road aerodynamic drag of athletes in motion and visualizes the flow field in its wake (Spoelstra et al., 2019). The measurement system is based on large-scale stereoscopic particle image velocimetry (PIV) measurements over a plane crossed by the cyclist. The measurement concept is referred with the name Ring of Fire (RoF) as the vehicle crosses a region of intense light.

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