Barbosa Tiago M, Morais Jorge E, Forte Pedro, Neiva Henrique, Garrido Nuno D, Marinho Daniel A
National Institute of Education, Nanyang Technological University, Singapore, Singapore; Research Centre in Sports, Health and Human Development, Vila Real, Portugal.
Department of Sport Sciences, Polytechnic Institute of Bragança, Bragança, Portugal; Research Centre in Sports, Health and Human Development, Vila Real, Portugal.
PLoS One. 2015 Jul 24;10(7):e0130868. doi: 10.1371/journal.pone.0130868. eCollection 2015.
The aim of this study was to compare the swimming hydrodynamics assessed with experimental and analytical procedures, as well as, to learn about the relative contributions of the friction drag and pressure drag to total passive drag. Sixty young talented swimmers (30 boys and 30 girls with 13.59±0.77 and 12.61±0.07 years-old, respectively) were assessed. Passive drag was assessed with inverse dynamics of the gliding decay speed. The theoretical modeling included a set of analytical procedures based on naval architecture adapted to human swimming. Linear regression models between experimental and analytical procedures showed a high correlation for both passive drag (Dp = 0.777Df+pr; R2 = 0.90; R2a = 0.90; SEE = 8.528; P<0.001) and passive drag coefficient (CDp = 1.918CDf+pr; R2 = 0.96; R2a = 0.96; SEE = 0.029; P<0.001). On average the difference between methods was -7.002N (95%CI: -40.480; 26.475) for the passive drag and 0.127 (95%CI: 0.007; 0.247) for the passive drag coefficient. The partial contribution of friction drag and pressure drag to total passive drag was 14.12±9.33% and 85.88±9.33%, respectively. As a conclusion, there is a strong relationship between the passive drag and passive drag coefficient assessed with experimental and analytical procedures. The analytical method is a novel, feasible and valid way to gather insight about one's passive drag during training and competition. Analytical methods can be selected not only to perform race analysis during official competitions but also to monitor the swimmer's status on regular basis during training sessions without disrupting or time-consuming procedures.
本研究的目的是比较通过实验和分析程序评估的游泳流体动力学,以及了解摩擦阻力和压力阻力对总被动阻力的相对贡献。对60名年轻有天赋的游泳运动员(30名男孩和30名女孩,年龄分别为13.59±0.77岁和12.61±0.07岁)进行了评估。通过滑行衰减速度的逆动力学评估被动阻力。理论建模包括一组基于船舶建筑学并适用于人类游泳的分析程序。实验和分析程序之间的线性回归模型显示,被动阻力(Dp = 0.777Df+pr;R2 = 0.90;R2a = 0.90;SEE = 8.528;P<0.001)和被动阻力系数(CDp = 1.918CDf+pr;R2 = 0.96;R2a = 0.96;SEE = 0.029;P<0.001)均具有高度相关性。平均而言,被动阻力的方法间差异为-7.002N(95%CI:-40.480;26.475),被动阻力系数的方法间差异为0.127(95%CI:0.007;0.247)。摩擦阻力和压力阻力对总被动阻力的部分贡献分别为14.12±9.33%和85.88±9.33%。总之,通过实验和分析程序评估的被动阻力与被动阻力系数之间存在很强的关系。分析方法是一种新颖、可行且有效的方法,可用于在训练和比赛期间深入了解个人的被动阻力。不仅可以选择分析方法在正式比赛期间进行比赛分析,还可以在训练期间定期监测游泳运动员的状态,而无需繁琐或耗时的程序。