Literature DB >> 19889420

Turbulence model choice for the calculation of drag forces when using the CFD method.

H Zaïdi1, S Fohanno, R Taïar, G Polidori.   

Abstract

The aim of this work is to specify which model of turbulence is the most adapted in order to predict the drag forces that a swimmer encounters during his movement in the fluid environment. For this, a Computational Fluid Dynamics (CFD) analysis has been undertaken with a commercial CFD code (Fluent). The problem was modelled as 3D and in steady hydrodynamic state. The 3D geometry of the swimmer was created by means of a complete laser scanning of the swimmer's body contour. Two turbulence models were tested, namely the standard k-epsilon model with a specific treatment of the fluid flow area near the swimmer's body contour, and the standard k-omega model. The comparison of numerical results with experimental measurements of drag forces shows that the standard k-omega model accurately predicts the drag forces while the standard k-epsilon model underestimates their values. The standard k-omega model also enabled to capture the vortex structures developing at the swimmer's back and buttocks in underwater swimming; the same vortices had been visualized by flow visualization experiments carried out at the INSEP (National Institute for Sport and Physical Education in Paris) with the French national swimming team. Copyright 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19889420     DOI: 10.1016/j.jbiomech.2009.10.010

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Individual-Environment Interactions in Swimming: The Smallest Unit for Analysing the Emergence of Coordination Dynamics in Performance?

Authors:  Brice Guignard; Annie Rouard; Didier Chollet; John Hart; Keith Davids; Ludovic Seifert
Journal:  Sports Med       Date:  2017-08       Impact factor: 11.136

2.  Front Crawl Swimming Performance and Bi-Lateral Force Asymmetry during Land-Based and Tethered Swimming Tests.

Authors:  Karini B Dos Santos; Paulo C Barauce Bento; Gleber Pereira; Carl Payton; André L F Rodacki
Journal:  J Sports Sci Med       Date:  2017-12-01       Impact factor: 2.988

Review 3.  Numerical and experimental investigations of human swimming motions.

Authors:  Hideki Takagi; Motomu Nakashima; Yohei Sato; Kazuo Matsuuchi; Ross H Sanders
Journal:  J Sports Sci       Date:  2015-12-23       Impact factor: 3.337

4.  Numerical Investigation of Swimmer's Gliding Stage with 6-DOF Movement.

Authors:  Tianzeng Li; Wenhao Cai; Jiemin Zhan
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

  4 in total

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