Paper
20 December 2024 Research on polygon formation mechanism of metro vehicles based on wheel-rail coupled vibration
Yin He, Xiong Guo
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 1342118 (2024) https://doi.org/10.1117/12.3054700
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
Abstract
Urban rail transit system has significant advantages, but with its rapid development, noise and vibration problems caused by wheel polygonal wear are becoming more and more prominent. When scholars study wheel polygonal abrasion, they seldom take the coupled vibration of wheel-rail system into consideration, while the P2 force resonance in the coupled vibration of wheel-rail system will have serious impact on wheel-rail system, such as wheel surface defects and rail wave abrasion, etc., and even lead to the failure of the vehicle and track components, which threatens the comfort and safety of the vehicle operation. In this paper, for the phenomenon of polygonal wheel abrasion in a certain type of underground, the mechanism of polygonal wheel abrasion caused by coupled vibration of the wheel-rail system is investigated from the analysis of rigid-flexible coupling dynamics. It was found that when the vehicle was running at a speed of 40-45 km/h, the P2 force with a frequency of about 60 Hz reached the peak value, which caused the wheel polygonal wear, resulting in the occurrence of wheel polygons of the 13th to 14th order. Meanwhile, the effects of wheel-rail parameters and track excitation on the coupled vibration of the wheel-rail system were investigated.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yin He and Xiong Guo "Research on polygon formation mechanism of metro vehicles based on wheel-rail coupled vibration", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 1342118 (20 December 2024); https://doi.org/10.1117/12.3054700
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KEYWORDS
Vibration

Data modeling

Analytical research

Education and training

Modeling

Safety

Systems modeling

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