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  5. Numerical-physical modelling of the long jump flight of female athletes: Impact of jump style, hairstyle and clothing

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Article
en
2024

Numerical-physical modelling of the long jump flight of female athletes: Impact of jump style, hairstyle and clothing

0 Datasets

0 Files

en
2024
Vol 252
Vol. 252
DOI: 10.1016/j.jweia.2024.105837

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Bert Blocken
Bert Blocken

Heriot-watt University

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Bert Blocken
Fabio Malizia
Philippe Laguna
+3 more

Abstract

The long jump is a track and field event in which the athlete sprints down a runway and tries to leap as far as possible from a take-off line. To the best of our knowledge, there are no published studies on the aerodynamic impact of jump style, hairstyle and clothing on the long jump distance. This paper presents a numerical-physical model of the long jump flight. It allows to predict flight distance and the impact of jump style, hairstyle and clothing. It consists of five submodels: an existing model of the sprint before take-off, a computational fluid dynamics (CFD) model of different body postures in flight, a set of physical wind tunnel models for CFD validation, a full-scale wind tunnel manikin with different hairstyles and clothing and a numerical model of the flight trajectory. Jump style only impacts flight distance by 1 cm or less. Hairstyle and clothing however can cause drag to vary by more than 25% and flight distance by more than 10 cm, mostly by impacting the take-off speed. In the long term, long jump events might see the introduction of hair caps and low-drag clothing to reduce aerodynamic resistance and level the playing field.

How to cite this publication

Bert Blocken, Fabio Malizia, Philippe Laguna, David Marshall, Daniel Bell, Thierry Marchal (2024). Numerical-physical modelling of the long jump flight of female athletes: Impact of jump style, hairstyle and clothing. , 252, DOI: https://doi.org/10.1016/j.jweia.2024.105837.

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Publication Details

Type

Article

Year

2024

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.jweia.2024.105837

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