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自行车功率能预测短跑成绩吗?

Can cycle power predict sprint running performance?

作者信息

van Ingen Schenau G J, Jacobs R, de Koning J J

机构信息

Faculty of Human Movement Sciences, Free University, Amsterdam, The Netherlands.

出版信息

Eur J Appl Physiol Occup Physiol. 1991;63(3-4):255-60. doi: 10.1007/BF00233857.

Abstract

A major criticism of present models of the energetics and mechanics of sprint running concerns the application of estimates of parameters which seem to be adapted from measurements of running during actual competitions. This study presents a model which does not perpetuate this solecism. Using data obtained during supra-maximal cycle ergometer tests of highly trained athletes, the kinetics of the anaerobic and aerobic pathways were modelled. Internal power wasted in the acceleration and deceleration of body limbs and the power necessary to overcome air friction was calculated from data in the literature. Assuming a mechanical efficiency as found during submaximal cycling, a power equation was constructed which also included the power necessary to accelerate the body at the start of movement. The differential equation thus obtained was solved through simulation. The model appeared to predict realistic times at 100 m (10.47 s), 200 m (19.63 s) and 400 m (42.99 s) distances. By comparison with other methods it is argued that power equations of locomotion should include the concept of mechanical efficiency.

摘要

目前短跑能量学和力学模型的一个主要批评点在于,其参数估计的应用似乎是从实际比赛中的跑步测量数据改编而来的。本研究提出了一个不会延续这种错误的模型。利用在对训练有素的运动员进行超最大负荷周期测力计测试期间获得的数据,对无氧和有氧途径的动力学进行了建模。根据文献中的数据计算了身体四肢加速和减速过程中浪费的内部功率以及克服空气阻力所需的功率。假设在次最大负荷骑行期间测得的机械效率,构建了一个功率方程,该方程还包括运动开始时加速身体所需的功率。通过模拟求解由此得到的微分方程。该模型似乎能够预测出100米(10.47秒)、200米(19.63秒)和400米(42.99秒)距离的实际用时。通过与其他方法比较,有人认为运动功率方程应包含机械效率的概念。

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