Fatigue damage assessment of complex railway turnout crossings via Peridynamics-based digital twin

Mehmet Hamarat, Mayorkinos Papaelias, Sakdirat Kaewunruen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Railway turnouts are essential in the train traffic route management for modern railways. Despite significant devotion to railway turnout research, one of their most common failures has not been thoroughly investigated, which is a fatigue over the turnout crossing nose. At the crossings, wheel-rail discontinuity imparts high-frequency high-magnitude forces, which are the source of fatigue failure over the crossing nose. In this study, a novel approach built on “Peridynamics” (PD) has been developed to obtain new insights into the fatigue cracks. A recent approach using “crack on mid-plane” has also been employed in this study to enhance the limited capability of Peridynamics. This paper is the world’s first to investigate fatigue failures over a crossing nose from fracture mechanics perspective. This paper also introduces a novel adaptive time-mapping method as an alternative to earlier time-mapping methods for fatigue models proposed in the open literature. The new model has been verified against both Finite Element Method and experimental data. It reveals that our new approach can simulate fatigue damage, particularly in mode I crack propagation. The study has provided important insights on the fatigue crack development, which is not possible before by existing Peridynamics fatigue model. The new approach on the basis of “adaptive time-mapping” and “crack on mid-plane” is demonstrated to be effective and efficient in PD simulations.
Original languageEnglish
Article number14377
Number of pages23
JournalScientific Reports
Issue number1
Early online date23 Aug 2022
Publication statusE-pub ahead of print - 23 Aug 2022

Bibliographical note

Funding Information:
The first author would like to thank Basaksoy Turnout Manufacturer for their technical support as well as Ministry of National Education (Turkey) for the sponsorships and assistance. Authors wish to gratefully acknowledge European Commission for H2020-MSCA-RISE Project No. 691135 “RISEN: Rail Infrastructure Systems Engineering Network” (www.risen2rail.eu) and for partial support from H2020 Shift2Rail Project No 730849 (S-Code). Calculations were performed using the Sulis Tier 2 HPC platform hosted by the Scientific Computing Research Technology Platform at the University of Warwick and Birmingham Environment for Academic Research (BEAR) HPC platform funded by University of Birmingham. Sulis is a UK wide project and funded by EPSRC Grant EP/T022108/1 and the HPC Midlands+ consortium. The technical sponsorships and assistance from China Academy of Railway Sciences, Japan Railway Technical Research Institute, Network Rail, RSSB (Rail Safety and Standard Board, UK) are appreciated. Special thanks to Birmingham IT team for their continuous and swift support. The APC has been kindly sponsored by the University of Birmingham Library's Open Access Fund.

Publisher Copyright:
© 2022, The Author(s).


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