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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 9.12
Combination of Longitudinal Train Dynamics and Multibody Simulation: Comparison of Co-Simulation with Other Modelling Strategies P.H. Alves Correa1, M. Magelli2, A.A. Santos Jr1 and N. Bosso2
1School of Mechanical Engineering, Universidade Estadual de Campinas, Brazil
P.H. Alves Correa, M. Magelli, A.A. Santos Jr, N. Bosso, "Combination of Longitudinal Train Dynamics and Multibody Simulation: Comparison of Co-Simulation with Other Modelling Strategies", 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 9.12, 2024, doi:10.4203/ccc.7.9.12
Keywords: longitudinal train dynamics, multibody system dynamics, co-simulation, running safety, three-piece bogie, heavy haul, wheel-rail contact.
Abstract
The present work aims to benchmark co-simulation architectures against other modelling strategies that can be adopted to combine longitudinal train dynamics and multibody simulations. The comparison of the modelling strategies is performed on a reference train-track operation scenario extracted from an international benchmark, building a detailed multibody model of a group of four wagons. The rest of the train composition is considered in the multibody environment with different approaches, namely a straightforward model applying the in-train forces obtained from a preliminary longitudinal train dynamics simulation, a mixed multibody model where the remaining wagons are modelled as single degree of freedom masses and a multibody model replacing wagon sets with a single big mass. It is found that the multibody models which do not need to exchange data with a separate longitudinal train dynamics module can easily consider the effect of the lateral component of the in-train forces on the derailment ratio, while ensuring lower times for the model setup and simulation with respect to co-simulation architectures.
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