Dynamic Performance of Low- and Medium-Speed Maglev Train Running on the Turnout
Journal Title: Mechatronics and Intelligent Transportation Systems - Year 2023, Vol 2, Issue 1
Abstract
This study aimed to analyze dynamic performance of the low- and medium-speed maglev train on the turnout, by conducting a series of field tests on the Fenghuang maglev sightseeing express line. This study systematically analyzed and evaluated dynamic responses of vehicle body, suspension bogie, short rail joint, motor-driven long-span girder (LSG) and continuous beam of the turnout at different speeds and loads in time and frequency domains. Test results obtained in this study indicated that: 1) speed and load of the maglev train affected acceleration amplitude of the train and turnout; 2) vertical sperling indexes of the test train were less than 2.5, indicating that the train had good ride quality; and 3) resonance phenomenon of track occurred at 40 km/h. The findings of this study may serve as references for model validation and optimized design of low- and medium-speed maglev train.
Authors and Affiliations
Sumei Wang, Qi Zhu, Yiqing Ni, Junqi Xu, Feng Chen
Keywords
Related Articles
- EP ID EP732231
- DOI https://doi.org/10.56578/mits020104
- Views 60
- Downloads 0
Optimising Dual Pantograph-Catenary System Performance in Curved Sections for Enhanced High-Speed Railway Operations
The spatial configuration of the pantograph-catenary system (PCS) is significantly altered by the superelevation present in curved railway tracks, leading to deviations in the system’s dynamic behaviour and imposing cons...
Design and Implementation of a Digital Twin System for Monitoring Automated Container Terminal Equipment
To address the lack of multi-perspective, real-time monitoring and management of operations and equipment in automated container terminals, a digital twin system targeted at monitoring automated container terminal equipm...
Machine Learning for Road Accident Severity Prediction
In the realm of road safety management, the development of predictive models to estimate the severity of road accidents is paramount. This study focuses on the multifaceted nature of factors influencing accident severity...
Ship Detection Based on an Enhanced YOLOv5 Algorithm
Advanced ship detection technologies play a critical role in improving maritime safety by enabling the rapid identification of vessels and other maritime targets, thereby mitigating the risk of collisions and optimizing...
Incorporating Climate Change Resilience in India’s Railway Infrastructure: Challenges and Potential
This study delves into the crucial task of embedding climate change resilience within the sphere of railway infrastructure planning and design in India. As climate change continues to threaten global transportation syste...