The influence of vehicle direction of motion in response amplification at railway transition zones

Conference Paper (2025)
Authors

A. B. Farăgău (TU Delft - Dynamics of Structures)

A. Jain (TU Delft - Offshore Engineering)

Andrei Metrikine (TU Delft - Dynamics of Structures)

KN van Dalen (TU Delft - Dynamics of Structures)

Research Group
Dynamics of Structures
To reference this document use:
https://doi.org/10.1061/9780784485941.022
More Info
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Publication Year
2025
Language
English
Research Group
Dynamics of Structures
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
201-209
ISBN (electronic)
9780784485941
DOI:
https://doi.org/10.1061/9780784485941.022
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Abstract

Transition zones, characterized by significant variation in track properties (e.g., foundation stiffness) near rigid structures like bridges and tunnels, necessitate more frequent maintenance compared to standard track sections due to higher levels of differential settlements observed at transition zones. Field measurements on one-way tracks reveal asymmetric settlement patterns (i.e., different settlement in the soft-to-stiff vs. stiff-to-soft transitions), yet existing literature often investigate either one or the other transition type without investigating the potential limited validity of results. This study investigates the similar aspects as well as the dissimilar ones regarding the behaviour of soft-to-stiff and stiff-to-soft transitions. Modelling results show that the behaviour of the two transitions can be considerably different. These results strongly suggest that for a mitigation measure to be efficient, it may be necessary to have different designs for the two types of transition wherever possible (i.e., in one-way tracks). This study can help researchers and engineers understand the different degradation patterns obtained using more complex models or from field measurements.

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