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Unsteady computational fluid dynamics in front crawl swimming.

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Title: Unsteady computational fluid dynamics in front crawl swimming.
Authors: Samson, Mathias1, Bernard, Anthony1, Monnet, Tony1, Lacouture, Patrick1, David, Laurent1
Source: Computer Methods in Biomechanics & Biomedical Engineering. 2017, Vol. 20 Issue 7, p783-793. 11p.
Subjects: Crawl stroke (Swimming), Swimming techniques, Forearm, Physiological effects of swimming, Computational fluid dynamics
Abstract: The development of codes and power calculations currently allows the simulation of increasingly complex flows, especially in the turbulent regime. Swimming research should benefit from these technological advances to try to better understand the dynamic mechanisms involved in swimming. An unsteady Computational Fluid Dynamics (CFD) study is conducted in crawl, in order to analyse the propulsive forces generated by the hand and forearm. The k-ω SST turbulence model and an overset grid method have been used. The main objectives are to analyse the evolution of the hand-forearm propulsive forces and to explain this relative to the arm kinematics parameters. In order to validate our simulation model, the calculated forces and pressures were compared with several other experimental and numerical studies. A good agreement is found between our results and those of other studies. The hand is the segment that generates the most propulsive forces during the aquatic stroke. As the pressure component is the main source of force, the orientation of the hand-forearm in the absolute coordinate system is an important kinematic parameter in the swimming performance. The propulsive forces are biggest when the angles of attack are high. CFD appears as a very valuable tool to better analyze the mechanisms of swimming performance and offers some promising developments, especially for optimizing the performance from a parametric study. [ABSTRACT FROM PUBLISHER]
Copyright of Computer Methods in Biomechanics & Biomedical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 122386936
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Unsteady computational fluid dynamics in front crawl swimming.
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+in+Biomechanics+%26+Biomedical+Engineering%22">Computer Methods in Biomechanics & Biomedical Engineering</searchLink>. 2017, Vol. 20 Issue 7, p783-793. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Crawl+stroke+%28Swimming%29%22">Crawl stroke (Swimming)</searchLink><br /><searchLink fieldCode="DE" term="%22Swimming+techniques%22">Swimming techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Forearm%22">Forearm</searchLink><br /><searchLink fieldCode="DE" term="%22Physiological+effects+of+swimming%22">Physiological effects of swimming</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink>
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  Label: Abstract
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  Data: The development of codes and power calculations currently allows the simulation of increasingly complex flows, especially in the turbulent regime. Swimming research should benefit from these technological advances to try to better understand the dynamic mechanisms involved in swimming. An unsteady Computational Fluid Dynamics (CFD) study is conducted in crawl, in order to analyse the propulsive forces generated by the hand and forearm. The k-ω SST turbulence model and an overset grid method have been used. The main objectives are to analyse the evolution of the hand-forearm propulsive forces and to explain this relative to the arm kinematics parameters. In order to validate our simulation model, the calculated forces and pressures were compared with several other experimental and numerical studies. A good agreement is found between our results and those of other studies. The hand is the segment that generates the most propulsive forces during the aquatic stroke. As the pressure component is the main source of force, the orientation of the hand-forearm in the absolute coordinate system is an important kinematic parameter in the swimming performance. The propulsive forces are biggest when the angles of attack are high. CFD appears as a very valuable tool to better analyze the mechanisms of swimming performance and offers some promising developments, especially for optimizing the performance from a parametric study. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Computer Methods in Biomechanics & Biomedical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=122386936
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10255842.2017.1302434
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      – Code: eng
        Text: English
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        PageCount: 11
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      – SubjectFull: Crawl stroke (Swimming)
        Type: general
      – SubjectFull: Swimming techniques
        Type: general
      – SubjectFull: Forearm
        Type: general
      – SubjectFull: Physiological effects of swimming
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      – SubjectFull: Computational fluid dynamics
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            NameFull: Monnet, Tony
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              Text: 2017
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