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Turbulence model choice for the calculation of drag forces when using the CFD method
1Université de Reims, GRESPI/Laboratoire de Thermomécanique, Moulin de la Housse, BP 1039, 51687 Reims cedex 2, France.
Journal of Biomechanics
|November 6, 2009
Summary
The standard k-omega turbulence model accurately predicts swimmer drag forces, unlike the k-epsilon model. This Computational Fluid Dynamics (CFD) study validates k-omega for analyzing underwater swimming hydrodynamics.
Area of Science:
- Fluid Dynamics
- Sports Science
- Computational Mechanics
Background:
- Predicting drag forces in swimming is crucial for performance analysis.
- Computational Fluid Dynamics (CFD) is a key tool for simulating fluid-environment interactions.
Purpose of the Study:
- To determine the most suitable turbulence model for predicting swimmer drag forces.
- To compare the predictive accuracy of standard k-epsilon and k-omega models.
Main Methods:
- 3D Computational Fluid Dynamics (CFD) analysis using Fluent software.
- Modeling swimmer geometry via laser scanning.
- Testing standard k-epsilon and standard k-omega turbulence models.
Main Results:
- The standard k-omega model accurately predicted drag forces.
- The standard k-epsilon model underestimated drag forces.
- The k-omega model successfully captured vortex structures at the swimmer's body, validated by experimental data.
Conclusions:
- The standard k-omega model is superior for predicting drag in underwater swimming.
- CFD simulations with the k-omega model provide reliable insights into swimming hydrodynamics.
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