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关于凯内尼萨·贝克勒在2019年柏林马拉松比赛中的合作领跑策略对其跑步功率影响的数值研究。

Numerical investigation of the impact of Kenenisa Bekele's cooperative drafting strategy on its running power during the 2019 Berlin marathon.

作者信息

Polidori Guillaume, Legrand Fabien, Bogard Fabien, Madaci Farouk, Beaumont Fabien

机构信息

Faculty of Exact and Natural Sciences, University of Reims Champagne Ardenne, France.

C2S, Cognition Health and Society, University of Reims Champagne-Ardenne, France.

出版信息

J Biomech. 2020 Jun 23;107:109854. doi: 10.1016/j.jbiomech.2020.109854. Epub 2020 May 23.

DOI:10.1016/j.jbiomech.2020.109854
PMID:32517862
Abstract

In this paper we examined the aerodynamic drag and the resulting decrease of power output associated with the drafting positions used by Kenenisa Bekele at the 2019 Berlin marathon. Examination of videos of the race revealed three different positions adopted by Bekele directly behind a frontline of three runners. These drafting positions were numerically studied using CFD simulations performed with the RANS equations and the SST k-ω model. Depending on his position behind the pacers, our analyses indicated that Bekele's drafting strategy resulted in reductions of 38.5-57.3% of the drag resistance and aerodynamic power. In terms of metabolic power, Bekele's drafting positions yielded an estimated 1.91-2.84% reduction compared to the calculated metabolic power of 1427.89 W (or equivalent metabolic power relative to body mass of 25.50 W/kg) that Bekele would have developed if he had run alone at the same speed of 5.75 m.s.

摘要

在本文中,我们研究了凯内尼萨·贝克勒在2019年柏林马拉松比赛中所采用的尾随位置的空气动力学阻力以及由此导致的功率输出下降情况。对比赛视频的检查显示,贝克勒在三名领跑者身后直接采用了三种不同的位置。使用基于雷诺平均纳维-斯托克斯(RANS)方程和剪切应力输运(SST)k-ω模型进行的计算流体动力学(CFD)模拟,对这些尾随位置进行了数值研究。根据他在配速员身后的位置,我们的分析表明,贝克勒的尾随策略使阻力和空气动力功率降低了38.5%-57.3%。就代谢功率而言,与贝克勒以5.75米/秒的相同速度独自奔跑时计算出的1427.89瓦代谢功率(或相对于体重25.50瓦/千克的等效代谢功率)相比,贝克勒的尾随位置使代谢功率估计降低了1.91%-2.84%。

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