冲刺
加速度
地面反作用力
机械
数学
物理
模拟
控制理论(社会学)
计算机科学
运动学
经典力学
软件工程
人工智能
控制(管理)
作者
Pierre Samozino,Nicolas Peyrot,Pascal Édouard,Ryu Nagahara,Pedro Jiménez‐Reyes,Benedicte Vanwanseele,Jean‐Benoît Morin
摘要
The aim was to determine the respective influences of sprinting maximal power output ( PHmax ) and mechanical Force-velocity (F-v) profile (ie, ratio between horizontal force production capacities at low and high velocities) on sprint acceleration performance. A macroscopic biomechanical model using an inverse dynamics approach applied to the athlete's center of mass during running acceleration was developed to express the time to cover a given distance as a mathematical function of PHmax and F-v profile. Simulations showed that sprint acceleration performance depends mainly on PHmax , but also on the F-v profile, with the existence of an individual optimal F-v profile corresponding, for a given PHmax , to the best balance between force production capacities at low and high velocities. This individual optimal profile depends on PHmax and sprint distance: the lower the sprint distance, the more the optimal F-v profile is oriented to force capabilities and vice versa. When applying this model to the data of 231 athletes from very different sports, differences between optimal and actual F-v profile were observed and depend more on the variability in the optimal F-v profile between sprint distances than on the interindividual variability in F-v profiles. For a given sprint distance, acceleration performance (<30 m) mainly depends on PHmax and slightly on the difference between optimal and actual F-v profile, the weight of each variable changing with sprint distance. Sprint acceleration performance is determined by both maximization of the horizontal power output capabilities and the optimization of the mechanical F-v profile of sprint propulsion.
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