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CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 8.9

Modelling railway track differential settlement for prediction of future deterioration and maintenance intervals

C. Charoenwong1, D.P. Connolly1, P.K. Woodward1, P. Galvin2,3 and P. Alves Costa4

1Institute for High Speed Rail and Systems Integration, School of Civil Engineering, University of Leeds, UK
2Escuela Tecnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain
3Laboratory of Engineering for Energy and Environmental Sustainability, Universidad de Sevilla, Sevilla, Spain
4Faculty of Engineering, University of Porto, Portugal

Full Bibliographic Reference for this paper
C. Charoenwong, D.P. Connolly, P.K. Woodward, P. Galvin, P. Alves Costa, "Modelling railway track differential settlement for prediction of future deterioration and maintenance intervals", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 8.9, 2022, doi:10.4203/ccc.1.8.9
Keywords: railway track-ground settlement, differential settlement, train-track interaction, freight trains.

Abstract
Under repeated traffic, railway track settles differently along the distance, causing irregularities in track geometry. This track irregularity evolves over time which induces higher train-track dynamic interaction force and further settlement. Track geometry is used to define track quality and maintenance required. Historical track geometry values can be extrapolated future track deterioration and maintenance intervals. However, using extrapolation of historical records become challenging when changes are made to rolling stock, traffic or track design. Therefore, this paper introduces a numerical algorithm that is capable of calculating differential settlement considering the incremental effect of train-track dynamic interaction forces and deviatoric stresses during the track lifecycle. The simulation is performed across frequency-wavenumber and time-space domains to optimise computational time and thus allow for track irregularity profile to be updated every load passage. The propagation 3D stress in track-ground is modelled explicitly using Finite Element Method with Perfectly Matched Layers (FEM-PML) approach. A multi-body vehicle model combined with empirical settlement laws is used for train-track interaction and evolving track irregularity profile. After validating against the field data, the model is used to study the influence of increasing freight traffic on a passenger line. Three traffic scenarios are simulated: 100% passenger trains, adding 1 freight train per train and adding 2 freight trains per day. The results show that dynamic characteristics of the freight rolling stock have a significant effect on future deterioration rate and maintenance intervals. It is also highlighted the model’s ability to predict future track deterioration when changes are made to rolling stock patterns.

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