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First evaluation of an automated system for cyclist’s aerodynamic drag assessment
Context: When riding on a flat road at high speed, the major part of the resistive forces experienced by a cyclist is due to aerodynamic drag. Reducing this drag is thus a key challenge for improving cycling performance. To do so it must be adequately quantified. In this regard, different methods ha...
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Published in: | Journal of science and cycling 2018-05, Vol.7 (2), p.9 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Context: When riding on a flat road at high speed, the major part of the resistive forces experienced by a cyclist is due to aerodynamic drag. Reducing this drag is thus a key challenge for improving cycling performance. To do so it must be adequately quantified. In this regard, different methods have been proposed in literature: wind tunnel [1], dynamometric measurement [2], deceleration [3], and linear regression [4]. Recently, a new approach that couples 3D digitization and computational has been investigated [5-8]. |
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ISSN: | 2254-7053 |