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Full-Scale 3D Heavy Haul Train-Track Dynamics Modelling Method

conference contribution
posted on 2024-02-21, 00:06 authored by Qing WuQing Wu, Maksym SpiryaginMaksym Spiryagin, Colin ColeColin Cole
Full-scale 3D train-track dynamics simulations for long heavy haul trains have not been reported. Successful implementations of such simulations can unlock a series of research topics such as vehicle derailments in train operational environment and track dynamics behaviour under train forces. This paper introduces a method that can be used to develop 3D train-track dynamics models for long heavy haul trains. The method uses parallel computing for 3D train dynamics simulations, in which one computer core is used to compute each vehicle of the train. Rails are modelled using the Finite Element Method and then decomposed into shorter sections by using the Domain Decomposition Method. Parallel computing is then used to simulate individual track sections by using one computer core per track section. Individual computer cores exchange information about coupler forces, vehicle statuses, wheel-rail contact forces and track domain boundary conditions. Hundreds of computer cores are required, therefore, a High Performance Computer or cluster is required to perform such modelling and simulation.

History

Editor

Orlova A; Cole D

Volume

Lecture Notes in Mechanical Engineering

Start Page

325

End Page

331

Number of Pages

7

Start Date

2021-08-17

Finish Date

2021-08-19

eISSN

2195-4364

ISSN

2195-4356

ISBN-13

9783031073045

Location

Saint Petersburg, Russia

Publisher

Springer

Place of Publication

Cham, Switzerland

Peer Reviewed

  • Yes

Open Access

  • No

Author Research Institute

  • Centre for Railway Engineering

Era Eligible

  • Yes

Name of Conference

27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021

Parent Title

Advances in Dynamics of Vehicles on Roads and Tracks II Proceedings of the 27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021, August 17–19, 2021, Saint Petersburg, Russia