Literature DB >> 28453398

Assessment of passive drag in swimming by numerical simulation and analytical procedure.

Tiago M Barbosa1,2,3, Rui Ramos2,4, António J Silva2,5, Daniel A Marinho2,4.   

Abstract

The aim was to compare the passive drag-gliding underwater by a numerical simulation and an analytical procedure. An Olympic swimmer was scanned by computer tomography and modelled gliding at a 0.75-m depth in the streamlined position. Steady-state computer fluid dynamics (CFD) analyses were performed on Fluent. A set of analytical procedures was selected concurrently. Friction drag (Df), pressure drag (Dpr), total passive drag force (Df+pr) and drag coefficient (CD) were computed between 1.3 and 2.5 m · s-1 by both techniques. Df+pr ranged from 45.44 to 144.06 N with CFD, from 46.03 to 167.06 N with the analytical procedure (differences: from 1.28% to 13.77%). CD ranged between 0.698 and 0.622 by CFD, 0.657 and 0.644 by analytical procedures (differences: 0.40-6.30%). Linear regression models showed a very high association for Df+pr plotted in absolute values (R2 = 0.98) and after log-log transformation (R2 = 0.99). The CD also obtained a very high adjustment for both absolute (R2 = 0.97) and log-log plots (R2 = 0.97). The bias for the Df+pr was 8.37 N and 0.076 N after logarithmic transformation. Df represented between 15.97% and 18.82% of the Df+pr by the CFD, 14.66% and 16.21% by the analytical procedures. Therefore, despite the bias, analytical procedures offer a feasible way of gathering insight on one's hydrodynamics characteristics.

Entities:  

Keywords:  Swimming; drag coefficient; friction drag; gliding; pressure drag

Mesh:

Year:  2017        PMID: 28453398     DOI: 10.1080/02640414.2017.1321774

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  8 in total

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Journal:  Front Physiol       Date:  2022-03-31       Impact factor: 4.755

2.  Analysis of Cyclist's Drag on the Aero Position Using Numerical Simulations and Analytical Procedures: A Case Study.

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Journal:  Int J Environ Res Public Health       Date:  2020-05-14       Impact factor: 3.390

3.  The Aerodynamics and Energy Cost Assessment of an Able-Bodied Cyclist and Amputated Models by Computer Fluid Dynamics.

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Journal:  Medicina (Kaunas)       Date:  2020-05-18       Impact factor: 2.430

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5.  Modeling the Major Influencing Factor on Match Running Performance during the In-Season Phase in a Portuguese Professional Football Team.

Authors:  José E Teixeira; Luís Branquinho; Miguel Leal; Daniel A Marinho; Ricardo Ferraz; Tiago M Barbosa; António M Monteiro; Pedro Forte
Journal:  Sports (Basel)       Date:  2022-08-12

6.  Validation of StepTest4all for Assessing Cardiovascular Capacity in Young Adults.

Authors:  José A Bragada; Raul F Bartolomeu; Pedro M Rodrigues; Pedro M Magalhães; João P Bragada; Jorge E Morais
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7.  Weekly Training Load across a Standard Microcycle in a Sub-Elite Youth Football Academy: A Comparison between Starters and Non-Starters.

Authors:  José E Teixeira; Luís Branquinho; Ricardo Ferraz; Miguel Leal; António J Silva; Tiago M Barbosa; António M Monteiro; Pedro Forte
Journal:  Int J Environ Res Public Health       Date:  2022-09-15       Impact factor: 4.614

8.  The Transition from Underwater to Surface Swimming During the Push-off Start in Competitive Swimmers.

Authors:  Alfonso Trinidad; Santiago Veiga; Enrique Navarro; Alberto Lorenzo
Journal:  J Hum Kinet       Date:  2020-03-31       Impact factor: 2.193

  8 in total

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