Abstract
The present work aimed to assess the effective frontal area (AC d , m 2) of a cyclist using both 3D scanning and Computational Fluid Dynamics (CFD) simulation and compare the results with wind tunnel and field measurements. One elite cyclist was recruited to complete a 3D scanning, a wind tunnel test and a field test. The 3D scanning was analyzed using CFD simulation to determine the AC d of the cyclist. The CFD AC d was compared to those measured in both wind tunnel and field tests. The 3D scanning method provides useful data for cycling science and TT position or equipment optimization, by using iterative approach. Indeed, the AC d obtained after CFD simulation was in accordance with those obtained in both wind tunnel and field testing sessions. Resolution, scanning time and post processing are compatible with an extensive use in real conditions and with a larger number of cyclists.
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