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Long-Term High-Speed Train–Track Dynamic Interaction Analysis Using a Moving Train–Track Interaction Model
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China.
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0001-7393-569X
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China.
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2022 (English)In: IAVSD 2021: Advances in Dynamics of Vehicles on Roads and Tracks II, Springer Nature , 2022, p. 272-281Conference paper, Published paper (Refereed)
Abstract [en]

A new moving train–track interaction model is shown in the paper to accurately and efficiently determine long-term high-speed train–track interaction dynamic response. In this model, the rail is represented with a reduced beam model (RBM) and the slabs mainly affected by the train–track interaction are modeled with four-node Kirchhoff-Love plate elements. The fastenings are modeled with spring-damper elements and the Concrete Asphalt (CA) layer is modeled with a Winkler foundation. Since only a small part of the rail and a few slabs from the whole slab track are included, the present model has fewer degrees of freedom than the traditional model using the modal superposition method and the simulation time is significantly decreased. The present model is validated by a long-term train–track interaction case where the results are compared with those from the traditional method. The simulation results show that the present model is accurate and efficient and has great advantages in solving high-speed train–track interaction problems.

Place, publisher, year, edition, pages
Springer Nature , 2022. p. 272-281
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
Keywords [en]
Reduced beam model, Slab track, Train–track interaction
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:kth:diva-329645DOI: 10.1007/978-3-031-07305-2_28Scopus ID: 2-s2.0-85136934897OAI: oai:DiVA.org:kth-329645DiVA, id: diva2:1774391
Conference
27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021,Virtual, 17-19 August 2021
Note

Part of ISBN 9783031073045

QC 20230614

Available from: 2023-06-26 Created: 2023-06-26 Last updated: 2023-06-26Bibliographically approved

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Liu, ZhendongStichel, Sebastian

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