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Modelling the effect of curves on distance running performance
BACKGROUND: Although straight ahead running appears to be faster, distance running races are predominately contested on tracks or roads that involve curves. How much faster could world records be run on straight courses? METHODS: Here,we propose a model to explain the slower times observed for races...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927354/ https://www.ncbi.nlm.nih.gov/pubmed/31879575 http://dx.doi.org/10.7717/peerj.8222 |
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author | Taboga, Paolo Kram, Rodger |
author_facet | Taboga, Paolo Kram, Rodger |
author_sort | Taboga, Paolo |
collection | PubMed |
description | BACKGROUND: Although straight ahead running appears to be faster, distance running races are predominately contested on tracks or roads that involve curves. How much faster could world records be run on straight courses? METHODS: Here,we propose a model to explain the slower times observed for races involving curves compared to straight running. For a given running velocity, on a curve, the average axial leg force ([Image: see text] ) of a runner is increased due to the need to exert centripetal force. The increased [Image: see text] presumably requires a greater rate of metabolic energy expenditure than straight running at the same velocity. We assumed that distance runners maintain a constant metabolic rate and thus slow down on curves accordingly. We combined published equations to estimate the change in the rate of gross metabolic energy expenditure as a function of [Image: see text] , where [Image: see text] depends on curve radius and velocity, with an equation for the gross rate of oxygen uptake as a function of velocity. We compared performances between straight courses and courses with different curve radii and geometries. RESULTS: The differences between our model predictions and the actual indoor world records, are between 0.45% in 3,000 m and 1.78% in the 1,500 m for males, and 0.59% in the 5,000 m and 1.76% in the 3,000 m for females. We estimate that a 2:01:39 marathon on a 400 m track, corresponds to 2:01:32 on a straight path and to 2:02:00 on a 200 m track. CONCLUSION: Our model predicts that compared to straight racecourses, the increased time due to curves, is notable for smaller curve radii and for faster velocities. But, for larger radii and slower speeds, the time increase is negligible and the general perception of the magnitude of the effects of curves on road racing performance is not supported by our calculations. |
format | Online Article Text |
id | pubmed-6927354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69273542019-12-26 Modelling the effect of curves on distance running performance Taboga, Paolo Kram, Rodger PeerJ Anatomy and Physiology BACKGROUND: Although straight ahead running appears to be faster, distance running races are predominately contested on tracks or roads that involve curves. How much faster could world records be run on straight courses? METHODS: Here,we propose a model to explain the slower times observed for races involving curves compared to straight running. For a given running velocity, on a curve, the average axial leg force ([Image: see text] ) of a runner is increased due to the need to exert centripetal force. The increased [Image: see text] presumably requires a greater rate of metabolic energy expenditure than straight running at the same velocity. We assumed that distance runners maintain a constant metabolic rate and thus slow down on curves accordingly. We combined published equations to estimate the change in the rate of gross metabolic energy expenditure as a function of [Image: see text] , where [Image: see text] depends on curve radius and velocity, with an equation for the gross rate of oxygen uptake as a function of velocity. We compared performances between straight courses and courses with different curve radii and geometries. RESULTS: The differences between our model predictions and the actual indoor world records, are between 0.45% in 3,000 m and 1.78% in the 1,500 m for males, and 0.59% in the 5,000 m and 1.76% in the 3,000 m for females. We estimate that a 2:01:39 marathon on a 400 m track, corresponds to 2:01:32 on a straight path and to 2:02:00 on a 200 m track. CONCLUSION: Our model predicts that compared to straight racecourses, the increased time due to curves, is notable for smaller curve radii and for faster velocities. But, for larger radii and slower speeds, the time increase is negligible and the general perception of the magnitude of the effects of curves on road racing performance is not supported by our calculations. PeerJ Inc. 2019-12-20 /pmc/articles/PMC6927354/ /pubmed/31879575 http://dx.doi.org/10.7717/peerj.8222 Text en ©2019 Taboga and Kram https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Anatomy and Physiology Taboga, Paolo Kram, Rodger Modelling the effect of curves on distance running performance |
title | Modelling the effect of curves on distance running performance |
title_full | Modelling the effect of curves on distance running performance |
title_fullStr | Modelling the effect of curves on distance running performance |
title_full_unstemmed | Modelling the effect of curves on distance running performance |
title_short | Modelling the effect of curves on distance running performance |
title_sort | modelling the effect of curves on distance running performance |
topic | Anatomy and Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927354/ https://www.ncbi.nlm.nih.gov/pubmed/31879575 http://dx.doi.org/10.7717/peerj.8222 |
work_keys_str_mv | AT tabogapaolo modellingtheeffectofcurvesondistancerunningperformance AT kramrodger modellingtheeffectofcurvesondistancerunningperformance |