在长途跑步比赛中最佳控制营养和推进力
Cameron Cook1, Guoxun Chen2, William W Hager3
1Research Triangle Institute (RTI) Health Solutions, Research Triangle Park, NC, United States.
Frontiers in nutrition
|June 5, 2023
概括
通过管理营养和推进来优化比赛表现. 这项研究将跑步模型作为最佳控制问题,发现一致的节奏和比赛中的营养可以最大限度地减少马拉松时间.
科学领域:
- 运动科学 运动科学 运动科学
- 生理学 生理学 生理学
- 数学建模的数学建模
背景情况:
- 优化跑步表现对于长距离比赛中的运动员至关重要.
- 营养摄入量和推进力是跑步者的关键可控制变量.
- 现有的模型往往缺乏对比赛中的能源管理的综合方法.
研究的目的:
- 将一个跑步者的比赛表现作为一个最佳的控制问题.
- 研究营养摄入和推进力的策略,以尽量减少比赛时间.
- 开发一个包含能量动态和营养的数学模型.
主要方法:
- 一个普通微分方程系统被开发出来,以模拟跑步者的速度,脂肪能量,糖原能量和营养.
- 能源分配是基于跑者的速度.
- 该模型解决了一个单一的控制问题,以找到最佳策略.
主要成果:
- 该模型的预测与马拉松世界纪录时间非常接近,差异只有0.4%.
- 与没有营养相比,食用五种100卡路里凝可以增加7.75%的跑步距离.
- 每个额外的凝允许跑步者在同一时间内进一步覆盖0.5-0.7公里.
结论:
- 在整个比赛中保持一致的节奏是最佳的,避免能量耗尽.
- 在比赛中,营养对于保持表现和实现更快的时间至关重要.
- 开发的模型为未来更复杂的运行性能模拟提供了基础.
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