Chapter
Feb 8, 2022
Second International Conference on Rail Transportation

Influence of Fluctuating Gust on Metro Train-Bridge System with High Piers

Publication: ICRT 2021

ABSTRACT

To ensure the ride quality of metro system in mountain cities, the characteristics of the wind-train-bridge system with high piers are studied, and the threshold of wind speeds and pier heights are determined in this paper. The representative crosswind model of Chinese hat fluctuating gust considering the speed-up effect of mountain terrain is established. The time series of this wind load is input to the dynamic system. The finite element method is used to model the bridge and the track, the multi-rigid-body system connected with the suspension spring and the damper is used to model each vehicle in the train. The whole process of the metro train running on the three-span high pier viaduct is simulated. On this basis, the analysis of the characteristics such as gust loading, different marshaling modes, wind speeds, and pier heights are taken into account. The study shows that the Chinese hat fluctuating gust model plays an essential role and resonates with the bridge structure in low frequencies, the crosswind stability of trains on high piers is more sensitive than short piers, the critical wind speed is 10.8 m/s and the critical pier height is 63 m.

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ACKNOWLEDGMENTS

The research described in this paper was financially supported by National Natural Science Foundation of China (No.51408434 and No.11772230), the Basic Natural Science and Frontier Technology Research Program of the Chongqing Municipal Science and Technology Commission (No.cstc2018jcyjAX0271) and the Science and Technology Research Program of Chongqing Municipal Education Commission (No.KJQN201900719).

REFERENCES

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Information & Authors

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Published In

Go to ICRT 2021
ICRT 2021
Pages: 111 - 119
Editors: Wanming Zhai, Ph.D., Southwest Jiaotong University, Kelvin C. P. Wang, Ph.D., Oklahoma State University, and Shengyang Zhu, Ph.D., Southwest Jiaotong University
ISBN (Online): 978-0-7844-8388-6

History

Published online: Feb 8, 2022

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Authors

Affiliations

Yunfei Zhang [email protected]
Ph.D. Student, Institute of Rail Transit, Tongji Univ., Shanghai, China. E-mail: [email protected]
Li Li, Ph.D. [email protected]
Associate Prof., Institute of Rail Transit, Tongji Univ., Shanghai, China. E-mail: [email protected]
Zhaowei Chen, Ph.D. [email protected]
Associate Prof., School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong Univ., Chongqing, China. E-mail: [email protected]

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