Optimization of Carbon Board Design Based on Multi-Day Standard Optimization Model
As people become increasingly aware of the potential of carbon board technology to significantly improve athlete performance, especially in long-distance events, this study aims to address limitations of existing carbon board optimization research. Carbon board running shoes are added to the original running shoes. Carbon board is a carbon fiber composite material. It has the advantages of light weight, toughness, more elasticity, and good fatigue resistance. Compared with soft soles, carbon board running shoes can improve the support for the arch of the foot, making the support more uniform, which in turn can improve exercise ability and reduce the possibility of injury. In this paper, finite element analysis, biomechanics principles and multi-objective optimization strategies are used to systematically study the geometric, mechanical and performance characteristics of carbon boards. Key factors such as carbon plate shape, size, weight, elasticity and thickness are optimized to improve shock absorption, rebound performance and overall sports performance. The optimized carbon board design, with a length of 0.1672 m, a width of 0.0119 m, and a thickness of 0.0079 m, achieves a delicate balance between structural rigidity, energy conversion efficiency and the use of lightweight materials. The results of this research provide a solid foundation for the innovative design of carbon-board running shoes, improving athletic performance and shoe comfort.
Authors
- Lifan Shen (ORCID: https://orcid.org/0000-0001-5973-5931)
- J. Huang (ORCID: https://orcid.org/0000-0002-6261-6172)
- Xia Chen (ORCID: https://orcid.org/0009-0006-9887-2377)
- Jianping Zhou (ORCID: https://orcid.org/0000-0002-7024-1227)
- Wenbo Zheng
- Zhenyuan Pan (ORCID: https://orcid.org/0009-0005-5935-844X)
Publication Details
- Journal
- Journal of big data and computing.
- Published
- 2024-09-01
- DOI
- https://doi.org/10.62517/jbdc.202401308
- Primary Topic
- Engineering Applied Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shenzhen University