An efficient modelling approach to obtain dynamic properties of equipment coupled to the bogie of vehicle
An efficient modelling approach to obtain dynamic properties of equipment coupled to the bogie of vehicle
Modelling the dynamic interaction between equipment and the bogie of a railway vehicle is crucial for the vibration and fatigue analysis of equipment. Current methods such as finite element and rigid-flexible coupling techniques are cumbersome. In this study, an efficient modelling approach is proposed to obtain the dynamic properties of coupled equipment. First, the vehicle and equipment are treated as independent modules, and further coupled using the frequency response function (FRF)-based substructuring method (FBSM). The FBSM is then developed from the finite element method to derive the FRF for the force to stress of equipment. Validation against experimental data and existing methods for a metro vehicle demonstrates the efficacy of our approach. The results indicate that the proposed approach models the vehicle and equipment as independent modules, eliminating the interdependent modeling steps of the previous approach and requiring less computation. The coupled small-mass equipment has a negligible influence on the dynamic properties of the vehicle bogie, but its dynamic properties are sensitive to vehicle and connection stiffness. Moreover, the vibration fatigue of equipment caused by the wheel/rail roughness can also be analyzed with the proposed approach.
Coupled equipment, Dynamic properties, Frequency response function, Modelling approach, Railway vehicle
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Sun, Wenjing
697ae912-77f1-43f4-b7ee-38cf7fb986b2
Gong, Dao
20b951f6-e6d0-4da9-874a-263a7d0c29d1
Zhou, Kai
64734b37-529a-4dd7-ac15-dd1e110a6d83
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Liu, Zhixing
350a24f8-7512-4c22-8556-986a1c2793cd
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Wang, Tengfei
eb3cd689-e898-4751-b438-465a58062d4e
Sun, Wenjing
697ae912-77f1-43f4-b7ee-38cf7fb986b2
Gong, Dao
20b951f6-e6d0-4da9-874a-263a7d0c29d1
Zhou, Kai
64734b37-529a-4dd7-ac15-dd1e110a6d83
Zhang, Zhanfei
9d71b5cb-3244-4900-916d-1c57e191beda
Liu, Zhixing
350a24f8-7512-4c22-8556-986a1c2793cd
Zhou, Jinsong
5302ef52-fd22-4b4d-baa6-3c640dd17f17
Wang, Tengfei, Sun, Wenjing, Gong, Dao, Zhou, Kai, Zhang, Zhanfei, Liu, Zhixing and Zhou, Jinsong
(2024)
An efficient modelling approach to obtain dynamic properties of equipment coupled to the bogie of vehicle.
Vehicle System Dynamics.
(doi:10.1080/00423114.2024.2330445).
Abstract
Modelling the dynamic interaction between equipment and the bogie of a railway vehicle is crucial for the vibration and fatigue analysis of equipment. Current methods such as finite element and rigid-flexible coupling techniques are cumbersome. In this study, an efficient modelling approach is proposed to obtain the dynamic properties of coupled equipment. First, the vehicle and equipment are treated as independent modules, and further coupled using the frequency response function (FRF)-based substructuring method (FBSM). The FBSM is then developed from the finite element method to derive the FRF for the force to stress of equipment. Validation against experimental data and existing methods for a metro vehicle demonstrates the efficacy of our approach. The results indicate that the proposed approach models the vehicle and equipment as independent modules, eliminating the interdependent modeling steps of the previous approach and requiring less computation. The coupled small-mass equipment has a negligible influence on the dynamic properties of the vehicle bogie, but its dynamic properties are sensitive to vehicle and connection stiffness. Moreover, the vibration fatigue of equipment caused by the wheel/rail roughness can also be analyzed with the proposed approach.
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Accepted/In Press date: 8 March 2024
e-pub ahead of print date: 15 March 2024
Additional Information:
Publisher Copyright:
© 2024 Informa UK Limited, trading as Taylor & Francis Group.
Keywords:
Coupled equipment, Dynamic properties, Frequency response function, Modelling approach, Railway vehicle
Identifiers
Local EPrints ID: 491337
URI: http://eprints.soton.ac.uk/id/eprint/491337
ISSN: 0042-3114
PURE UUID: 02bc4b93-b4ad-4991-bc6c-f355dd59bf12
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Date deposited: 20 Jun 2024 16:34
Last modified: 10 Jul 2024 21:32
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Contributors
Author:
Tengfei Wang
Author:
Wenjing Sun
Author:
Dao Gong
Author:
Kai Zhou
Author:
Zhanfei Zhang
Author:
Zhixing Liu
Author:
Jinsong Zhou
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