Connolly, DP, Dong, K, Alves Costa, P et al. (2 more authors) (2020) High speed railway ground dynamics: a multi-model analysis. International Journal of Rail Transportation, 8 (4). pp. 324-346. ISSN 2324-8378
Abstract
High speed railway track and earthwork structures experience varied levels of displacement amplification depending upon train speed. Protecting against amplified track deflections is challenging due to the complexity of deep wave propagation within both the track and supporting soil structures. Therefore it is challenging to derive design guidelines that encompass the full range of influential variables. As a solution, this paper uses a novel multi-model framework where 4 complimentary modelling strategies are combined, and thus able to generate new insights into railway ground dynamics and ‘critical velocity’. The four types of model are: 1) analytical, 2) hybrid analytical-numerical, 3) 2.5D numerical, 4) 3D numerical. They are used to explore subgrade layering, track type, train type, soil non-linearity, shakedown and ground improvement. The findings provide new insights into railway track-ground geodynamics and are useful when considering the design or upgrade of railroad lines.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of a journal article published in International Journal of Rail Transportation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | High speed rail, railroad critical speed, railway track deflection, track settlement, railroad geodynamics, shakedown |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jan 2020 12:29 |
Last Modified: | 17 Dec 2021 13:29 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/23248378.2020.1712267 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:156260 |