Dong, K, Laghrouche, O, Connolly, DP et al. (2 more authors) (2018) The effect of non-linear soil behavior on mixed traffic railway lines. In: Numerical Methods in Geotechnical Engineering IX. NUMGE 2018 the 9th European Conference on Numerical Methods in Geotechnical Engineering, 25-27 Jun 2018, Porto, Portugal. , pp. 1445-1452. ISBN 9781138544468
Abstract
Railway freight services can be added to lines that have previously only be used for passenger services, with the aim of increasing network capacity. Freight trains have larger axle loads and thus can have a negative effect on track longevity, particularly on ballasted lines supported by sub-optimal ground conditions. This is because larger subgrade strains are generated, which can result in non-linear behavior. Therefore it is important to be able to determine the effect of the new rolling stock on track behavior before operation. This is challenging to do because non-linear soil behavior is challenging to simulate. As a solution, this paper presents an equivalent non-linear, thin layer element soil model, coupled to an analytical track model. It is capable of quickly and accurately computing the response of non-linear track behavior. The model is used to investigate the effect of introducing freight wagons on an existing ballasted passenger line with poor ground conditions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Taylor & Francis Group, London, UK. This is an author produced version of a conference paper published in Numerical Methods in Geotechnical Engineering IX. Uploaded in accordance with the publisher's self-archiving policy. |
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: | 13 Nov 2019 12:50 |
Last Modified: | 13 Nov 2019 15:34 |
Status: | Published |
Identification Number: | 10.1201/9780429446924 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153408 |