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Title
A semi-physical model to predict plasticity in railway turnout crossings
Author
Sazgetdinov, K
Meierhofer, A
Scheriau, S
Ossberger, U
Palsson, B
Six, K
Affiliation
Virtual Vehicle Research GmbH, Graz, Austria
voestalpine Rail Technology GmbH, Leoben, Austria
Department of Mechanics and Maritime Sciences / CHARMEC, Chalmers University of Technology, Gothenburg, Sweden
Publication Date
2022
Conference
12th International Conference on Contact Mechanics and Wear of Rail/Wheel Systems, 4-7 September 2022, Melbourne, Victoria, Australia
Abstract
Large dynamic contact forces in railway turnouts cause severe changes in the profile of the crossing-nose. To predict these changes, the whole system model (WSM) was developed, which uses extensive FEM simulations for the rail damage calculations that are very computationally intensive. To substitute these simulations and, thus, majorly enhance the overall performance of the WSM methodology, the semiphysical plasticity (SPP) metamodel has been developed. The SPP model is based on three foundational assumptions on the wear area, shape change area and wheel profiles envelope effects to reproduce the profile development of the crossing nose. The SPP results have shown an overall good correlation with the FEM results and, due to the semi-physical nature of the model, the computational time for such predictions was significantly improved as compared to the FEM simulations (seconds instead of weeks). The developed model will be useful for effective and time-efficient rail surface damage prediction and, as part of the WSM, contribute to the fast holistic track damage prognosis.
File - click thumbnail to download
Physical Description
6p.; PDF
Subjects
Railway track
Wear
Rolling contact
Plasticity
Modelling
Maintenance
Rail transport
Location
ARRB library
Category
Rail Knowledge Bank Index
Infrastructure
Track
Track maintenance
Rail Knowledge Bank Index
Infrastructure
Track
Rail Knowledge Bank Index
Infrastructure
Wheel/rail interaction
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https://railknowledgebank.com/Presto/pl/MTk4MTRjNDUtNWQ0My00OTBmLTllYWUtZWFjM2U2OTE0ZDY3LjEwMDc0