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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20377

Title: Optimisation of phase ratio in the triple jump using computer simulation
Authors: Allen, Samuel J.
King, Mark A.
Yeadon, Maurice R.
Keywords: Computer simulation
Triple jump
Phase ratio
Issue Date: 2016
Publisher: © Elsevier
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.
Abstract: © 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.
Description: This paper is in closed access until 18th Jul 2018
Version: Accepted for publication
DOI: 10.1016/j.humov.2015.12.012
URI: https://dspace.lboro.ac.uk/2134/20377
Publisher Link: http://dx.doi.org/10.1016/j.humov.2015.12.012
ISSN: 0167-9457
Appears in Collections:Closed Access (Sport, Exercise and Health Sciences)

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