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Optimization of ski jumping in-run posture using computational fluid dynamics
Wenhan Liu1, Feixiang Lu2, Xiang Suo1
1School of Intelligent Sports Technologies, Shanghai University of Sport, Shanghai, 200438, China.
Ski jumpers can improve speed by minimizing air resistance during the in-run. Optimizing torso angle is key, reducing drag by 5% and enhancing performance through physics-driven training.
Area of Science:
- Sports Biomechanics
- Aerodynamics
- Computational Fluid Dynamics
Background:
- Aerodynamic optimization in ski jumping primarily focuses on the flight phase.
- The in-run phase's posture-fluid interactions and drag dynamics are less understood for speed maximization.
Purpose of the Study:
- To investigate posture-dependent aerodynamic resistance during the ski jumping in-run phase.
- To identify key posture parameters influencing drag and optimize athlete positioning for acceleration.
Main Methods:
- Development of an athlete-specific 3D model for high-resolution computational fluid dynamics (CFD) simulations.
- Systematic analysis of four critical posture parameters: torso attack angle (α), thigh attack angle (β), ankle joint angle (γ), and hip abduction angle (ε).
Main Results:
- Torso attack angle (α) was identified as the dominant factor influencing aerodynamic resistance during acceleration.
- An optimized posture configuration reduced cumulative air resistance by approximately 5% compared to conventional postures.
- Marginal adjustments in torso positioning significantly impacted drag reduction more than other joint angles.
Conclusions:
- Minimizing drag, not maximizing lift, is the primary objective for in-run optimization in ski jumping.
- Findings support evidence-based posture guidelines and a shift towards physics-driven training methodologies.
- CFD is a valuable tool for quantifying subtle posture adaptations in sports biomechanics and equipment optimization.
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