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Civil-Comp Conferences
ISSN 2753-3239
CCC: 7
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 6.16

Validation of a movable-point turnout design: a complete vehicle-turnout interaction model

C. Somaschini, Q. Li, S. Alfi, E. Di Gialleonardo and A. Collina

Department of Mechanical Engineering, Politecnico di Milano, Italy

Full Bibliographic Reference for this paper
C. Somaschini, Q. Li, S. Alfi, E. Di Gialleonardo, A. Collina, "Validation of a movable-point turnout design: a complete vehicle-turnout interaction model", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 6.16, 2024, doi:10.4203/ccc.7.6.16
Keywords: turnout, switches and crossings, railroad track, vehicle-track interaction, finite element method, multi-body dynamic simulation.

Abstract
Railway turnouts are crucial elements of railway networks. They are subjected to severe dynamic interactions due to rapid variations in wheel-rail contact, leading to high dynamic forces and potential damage mechanisms such as wear, plastic deformation, and rolling contact fatigue. Therefore, the design of these components must account for high-frequency train-track interactions. This study validates the design of a high-speed turnout with a movable point rail by analysing the dynamic responses and estimating the maximum stresses of critical components considering different trains and different running conditions. A three-step numerical approach is used to simplify the three-dimensional critical components with complex shapes, simulate the dynamic interaction using a FE-multibody simplified system and calculate the stresses on critical components. This procedure also considers non-linear large-scale kinematic constraints. The results, compared to experimental data, show good agreements in terms of displacements, accelerations, and stresses, demonstrating that this multi-stage approach effectively estimates the most stressed elements and areas of a turnout, providing predictive insights into turnout behaviour under varying operational conditions.

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