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Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach
Alessandro Cudicio1, Marta Cogliati2, Gianluca Rizzi3
1Department of Human and Social Sciences, University of Bergamo, 24129 Bergamo, Italy.
Personalized compression garments (CG) are more effective than standard designs. Segmented CG, tailored to individual limb shapes, offer superior compression for athletic performance and recovery.
Area of Science:
- Sports Science and Biomechanics
- Textile Engineering and Material Science
Background:
- Compression garments (CG) are widely used in sports for performance enhancement and recovery.
- Debate persists regarding the actual effectiveness of current CG designs.
- CG design and material properties are critical factors influencing their efficacy.
Purpose of the Study:
- To analyze the effectiveness of compression garments (CG) in sports.
- To investigate the importance of personalized compression strategies based on anthropometric measurements.
- To evaluate non-linear compression designs for improved outcomes.
Main Methods:
- Anthropometric analysis of lower limb morphology in 40 healthy participants.
- Finite element simulations to model pressure gradients along the limb.
- Evaluation of one-piece versus segmented CG designs.
Main Results:
- Limb measurements revealed complex anatomical variations necessitating customized CG.
- One-piece CG designs struggle to achieve uniform pressure due to non-linear limb dimensions.
- Segmented CG designs, especially with bilinear progression, showed improved targeted compression.
Conclusions:
- Standard one-piece compression garments often provide suboptimal compression.
- Personalized, segmented CG designs offer superior performance and user comfort.
- Tailored compression strategies are key to optimizing athletic outcomes.
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