Thrust-versus-endurance trade-off optimization in swimming
Thrust-versus-endurance trade-off optimization in swimming
This article applies methods typically used in engineering applications to the optimization of human locomotion, more specifically a swimmer's underwater ‘dolphin kick’. This is a dual-objective problem which seeks the optimal trade-off between thrust (simulated using Lighthill's fish propulsion method) and the force in the muscles to produce this thrust (simulated using musculoskeletal modelling). The expense of the analyses leads to the use of a surrogate modelling based optimization technique (multi-objective expected improvement using Kriging). The results indicate that optimal human motion does in many respects follow that of fish, with low frequency eel-like techniques suitable for endurance and a high frequency tuna-like kick for high thrust. The MATLAB® code, including thrust and muscle activity models, is made available in an online repository.
multiobjective, surrogate modelling, Kriging, expected improvement, dolphin kick, musculoskeletal modelling, swimming
1068-1081
Phillips, Christopher W. G.
64d39da7-ce38-4265-9c8e-6c20c9ce4bba
Hudson, Dominic A.
3814e08b-1993-4e78-b5a4-2598c40af8e7
Turnock, Stephen R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Forrester, Alexander I. J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
2020
Phillips, Christopher W. G.
64d39da7-ce38-4265-9c8e-6c20c9ce4bba
Hudson, Dominic A.
3814e08b-1993-4e78-b5a4-2598c40af8e7
Turnock, Stephen R.
d6442f5c-d9af-4fdb-8406-7c79a92b26ce
Forrester, Alexander I. J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Phillips, Christopher W. G., Hudson, Dominic A., Turnock, Stephen R. and Forrester, Alexander I. J.
(2020)
Thrust-versus-endurance trade-off optimization in swimming.
Engineering Optimization, 52 (6), .
(doi:10.1080/0305215X.2019.1636980).
Abstract
This article applies methods typically used in engineering applications to the optimization of human locomotion, more specifically a swimmer's underwater ‘dolphin kick’. This is a dual-objective problem which seeks the optimal trade-off between thrust (simulated using Lighthill's fish propulsion method) and the force in the muscles to produce this thrust (simulated using musculoskeletal modelling). The expense of the analyses leads to the use of a surrogate modelling based optimization technique (multi-objective expected improvement using Kriging). The results indicate that optimal human motion does in many respects follow that of fish, with low frequency eel-like techniques suitable for endurance and a high frequency tuna-like kick for high thrust. The MATLAB® code, including thrust and muscle activity models, is made available in an online repository.
Text
Phillips_et_al_revision
- Accepted Manuscript
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Accepted/In Press date: 19 June 2019
e-pub ahead of print date: 17 July 2019
Published date: 2020
Keywords:
multiobjective, surrogate modelling, Kriging, expected improvement, dolphin kick, musculoskeletal modelling, swimming
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Local EPrints ID: 425803
URI: http://eprints.soton.ac.uk/id/eprint/425803
PURE UUID: fe0dd09a-fd6d-415f-8295-ddc2ae28fbb7
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Date deposited: 02 Nov 2018 17:31
Last modified: 07 Oct 2020 04:25
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