Dynamic Analysis of Lifting Lug of Equipment Under High Speed EMU

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作者
Ding, Jie [1 ]
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[1] School of Mechanical Engineering, Hunan University of Arts and Sicence, Changde,415000, China
关键词
In order to reveal the reasons for the great difference of cracks in the lifting lugs at different positions of the under-chassis equipment of CRH380AL high-speed EMU; full-scale test on vibration acceleration and aerodynamic load are carried out. The dynamics model of the large-scale system with multiple coupling of under-chassis equipment; vehicle; wheel-rail; and railway line is established. The vehicle body and under-chassis equipment are established as elastomer models by finite element method. The wheel-rail subsystem and bogie subsystem are modeled by rigid multibody dynamics. The track irregularity spectrum is based on the measured data samples from Wuhan to Guangzhou. The aerodynamic load under the conditions of tunnel passing and tunnel intersection is numerically simulated by the eight-car aerodynamic model. The influence of elasticity; aerodynamic load; bolt stiffness and other factors of the vehicle body on the lifting lug reaction force of the under-chassis equipment is analyzed. The research shows that; there is a strong coupling behavior between the under-chassis equipment and the vehicle system. The mass distribution of the under-chassis equipment and the elastic coupling effect of the vehicle body lead to the maximum vertical dynamic load of No. 4 lifting lug; which corresponds to the highest proportion of on-site fault cracks. The aerodynamic load has a significant impact on the dynamic load of No. 8 lifting lug of the under-chassis equipment. The dynamic load of the lifting lug in the low-frequency domain increases with the increase of bolt stiffness; the vertical average dynamic load and the maximum dynamic load are 4 times and 6 times of the other two directions respectively. The dynamic analysis method based on the coupling of line and vehicle can provide theoretical support for the design of dynamic mechanical behavior of equipment under the vehicle and the optimization of fatigue performance. © 2024 Science Press. All rights reserved;
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页码:168 / 176
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