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Optimisation of phase ratio in the triple jump using computer simulation

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posted on 2016-02-23, 13:51 authored by Sam AllenSam Allen, Mark KingMark King, Fred YeadonFred Yeadon
© 2016 Elsevier B.V. The triple jump is an athletic event comprising three phases in which the optimal proportion of each phase to the total distance jumped, termed the phase ratio, is unknown. This study used a whole-body torque-driven computer simulation model of all three phases of the triple jump to investigate optimal technique. The technique of the simulation model was optimised by varying torque generator activation parameters using a Genetic Algorithm in order to maximise total jump distance, resulting in a hop-dominated technique (35.7%:30.8%:33.6%) and a distance of 14.05. m. Optimisations were then run with penalties forcing the model to adopt hop and jump phases of 33%, 34%, 35%, 36%, and 37% of the optimised distance, resulting in total distances of: 13.79. m, 13.87. m, 13.95. m, 14.05. m, and 14.02. m; and 14.01. m, 14.02. m, 13.97. m, 13.84. m, and 13.67. m respectively. These results indicate that in this subject-specific case there is a plateau in optimum technique encompassing balanced and hop-dominated techniques, but that a jump-dominated technique is associated with a decrease in performance. Hop-dominated techniques are associated with higher forces than jump-dominated techniques; therefore optimal phase ratio may be related to a combination of strength and approach velocity.

History

School

  • Sport, Exercise and Health Sciences

Published in

Human Movement Science

Volume

46

Pages

167 - 176

Citation

ALLEN, S.J., KING, M.A. and YEADON, M.R., 2016. Optimisation of phase ratio in the triple jump using computer simulation. Human Movement Science, 46, pp. 167-176.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2015-12-22

Publication date

2016-01-18

Notes

This paper was published in the journal Human Movement Science and the definitive published version is available at https://doi.org/10.1016/j.humov.2015.12.012.

ISSN

0167-9457

eISSN

1872-7646

Language

  • en

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