The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities

Previous research has shown that friction between ski and snow can vary substantially due to changes in snow conditions. The variation of friction affects the speed a freestyle skier or snowboarder (athlete) reaches during the in-run of a jump. Athletes risk severe injuries if their take-off speed i...

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Main Authors: Fabian Wolfsperger, Frédéric Meyer, Matthias Gilgien
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Mechanical Engineering
Subjects:
ski
Online Access:https://www.frontiersin.org/articles/10.3389/fmech.2021.728722/full
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spelling doaj-ed2216079d584853acc09f4536efe93c2021-09-16T04:52:23ZengFrontiers Media S.A.Frontiers in Mechanical Engineering2297-30792021-09-01710.3389/fmech.2021.728722728722The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical QuantitiesFabian Wolfsperger0Frédéric Meyer1Frédéric Meyer2Matthias Gilgien3Matthias Gilgien4Winter Sports and Climate Group, WSL-Institute for Snow and Avalanche Research SLF, Davos, SwitzerlandDepartment for Sport Science, University of Lausanne, Lausanne, SwitzerlandDepartment of Informatics, University of Oslo, Oslo, NorwayDepartment of Physical Performance, Norwegian School of Sport Sciences, Oslo, NorwayCenter for Alpine Sports Biomechanics, Engadin Health and Innovation Foundation, Samedan, SwitzerlandPrevious research has shown that friction between ski and snow can vary substantially due to changes in snow conditions. The variation of friction affects the speed a freestyle skier or snowboarder (athlete) reaches during the in-run of a jump. Athletes risk severe injuries if their take-off speed is not within the right margin to land in the “sweet spot” zone. To reduce the risk of injury, snow park designers and competition managers need to calculate the speed athletes reach during the in-run. However, despite multiple attempts over the last decades, to date no model can predict ski-snow friction from snow physical quantities. Hence, simulations of in-run speeds suffer from insufficient validity. For the first time, this work combines kinematic athlete data and comprehensive snow surface measurements to infer the coefficient of friction of freestyle skis and snowboards across a wide range of snow conditions. Athletes’ point mass kinematics were recorded at more than 200 straight gliding runs with differential global navigation satellite systems. The subjects’ air drag and lift were deployed from wind tunnel measurements. Along with the kinematic data and data from wind measurements, a mechanical model of the athlete was established to solve the equation of motion for the coefficient of friction between ski/snowboard and snow. The friction coefficients for ski (snowboard) ranged from 0.023 ± 0.006 (0.026 ± 0.008) to 0.139 ± 0.018 (0.143 ± 0.017) and could be explained well (Radj2 = 0.77) from the measured snow parameters using a multivariate statistical model. Our results provide a new quantitative tool for practitioners to predict the friction of skis and snowboard on snow of various conditions, which aims to increase athletes’ safety in slopestyle and big air.https://www.frontiersin.org/articles/10.3389/fmech.2021.728722/fullfrictionskifreestylejump designinjury risksnowboard
collection DOAJ
language English
format Article
sources DOAJ
author Fabian Wolfsperger
Frédéric Meyer
Frédéric Meyer
Matthias Gilgien
Matthias Gilgien
spellingShingle Fabian Wolfsperger
Frédéric Meyer
Frédéric Meyer
Matthias Gilgien
Matthias Gilgien
The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
Frontiers in Mechanical Engineering
friction
ski
freestyle
jump design
injury risk
snowboard
author_facet Fabian Wolfsperger
Frédéric Meyer
Frédéric Meyer
Matthias Gilgien
Matthias Gilgien
author_sort Fabian Wolfsperger
title The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
title_short The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
title_full The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
title_fullStr The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
title_full_unstemmed The Snow-Friction of Freestyle Skis and Snowboards Predicted From Snow Physical Quantities
title_sort snow-friction of freestyle skis and snowboards predicted from snow physical quantities
publisher Frontiers Media S.A.
series Frontiers in Mechanical Engineering
issn 2297-3079
publishDate 2021-09-01
description Previous research has shown that friction between ski and snow can vary substantially due to changes in snow conditions. The variation of friction affects the speed a freestyle skier or snowboarder (athlete) reaches during the in-run of a jump. Athletes risk severe injuries if their take-off speed is not within the right margin to land in the “sweet spot” zone. To reduce the risk of injury, snow park designers and competition managers need to calculate the speed athletes reach during the in-run. However, despite multiple attempts over the last decades, to date no model can predict ski-snow friction from snow physical quantities. Hence, simulations of in-run speeds suffer from insufficient validity. For the first time, this work combines kinematic athlete data and comprehensive snow surface measurements to infer the coefficient of friction of freestyle skis and snowboards across a wide range of snow conditions. Athletes’ point mass kinematics were recorded at more than 200 straight gliding runs with differential global navigation satellite systems. The subjects’ air drag and lift were deployed from wind tunnel measurements. Along with the kinematic data and data from wind measurements, a mechanical model of the athlete was established to solve the equation of motion for the coefficient of friction between ski/snowboard and snow. The friction coefficients for ski (snowboard) ranged from 0.023 ± 0.006 (0.026 ± 0.008) to 0.139 ± 0.018 (0.143 ± 0.017) and could be explained well (Radj2 = 0.77) from the measured snow parameters using a multivariate statistical model. Our results provide a new quantitative tool for practitioners to predict the friction of skis and snowboard on snow of various conditions, which aims to increase athletes’ safety in slopestyle and big air.
topic friction
ski
freestyle
jump design
injury risk
snowboard
url https://www.frontiersin.org/articles/10.3389/fmech.2021.728722/full
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