Numerical simulation research on the correlation between bicycle drag and dynamic pressure

Yunfei Zhou; Bin Cheng; Cheng Wang; Hongguang Yang

doi:10.1117/12.2642600

28 July 2022 Numerical simulation research on the correlation between bicycle drag and dynamic pressure

Yunfei Zhou, Bin Cheng, Cheng Wang, Hongguang Yang

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123032G (2022) https://doi.org/10.1117/12.2642600
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

Competitive cycling is one of the most popular sports in the world. In order to study the correlation between the drag and dynamic pressure field distribution of competitive cyclists at different velocity, the SST k-ω model was used for CFD numerical simulation in this work. The dynamic pressure field around the cyclist's system is analyzed, and the key monitoring points are set up and the dynamic pressure change trend at different velocity and the change trend of the steadystate dynamic pressure difference of the monitoring points are calculated. The results show that the variation trend of the dynamic pressure difference at different velocity is highly consistent with the variation trend of the drag coefficient, indicating that the dynamic pressure difference is an important source of drag.

Citation Download Citation

Yunfei Zhou, Bin Cheng, Cheng Wang, and Hongguang Yang "Numerical simulation research on the correlation between bicycle drag and dynamic pressure", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123032G (28 July 2022); https://doi.org/10.1117/12.2642600

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