Simulation of Long Train Dynamics with the Consideration of Wheel-Rail Contact

  • Chris BosomworthEmail author
  • Qing Wu
  • Maksym Spiryagin
  • Colin Cole
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Classical train simulation is the domain of low Degree-of-Freedom simulators such as Longitudinal Train Simulators. These systems execute quickly, at faster than real-time rates and provide accurate results for a limited application space. For the computationally fast computer reason they are not only used in engineering analysis but have also been integrated into onboard vehicle computers for live train state information. With computer power ever increasing, most recently from the explosion of multi-core computing, the constraints of the past are no longer as restrictive. Through the use of parallel computing, multibody vehicle simulation modelling of wheel-rail contact has been introduced into the train simulation field. Current implementations of this hybridized approach still run significantly slower than real-time. This paper investigates the issues surrounding the use of this simulation methodology in hard real-time systems such as those required for real-time train simulation in onboard vehicle computers and provides some approaches for further computational enhancement. The initial findings demonstrate the benefit of a parallel scheme for multi-body train simulation.


Train dynamics Braking Wheel-rail contact Parallel computing 


  1. 1.
    Wu, Q., Spiryagin, M., Cole, C.: Parallel computing scheme for three-dimensional long train system dynamics. J. Comput. Nonlinear Dyn. 12(4), 044502 (2017)CrossRefGoogle Scholar
  2. 2.
    Thomas, A., Cole, C., Bosomworth, C.: A train health advisory system for freight trains. In: Geng, Z. (ed.) Proceedings: 9th International Heavy Haul Conference (IHHC 2009), Shanghai, China, 22–24 June 2009. China Railway Publishing House, Beijing (2009)Google Scholar
  3. 3.
    Bosomworth, C., Spiryagin, M., Cole, C., Alahakoon, S., Hayman, M.: Challenges and solutions for integrating simulation into a transportation device. In: Naweed, A., Wardaszko, M., Leigh, E., Meijer, S. (eds.) 21st Annual Simulation Technology and Training Conference, SimTecT 2016, Melbourne, Australia, 26–29 September 2016, pp. 317–330. Springer, Cham (2016).
  4. 4.
    Spiryagin, M., Nielsen, D., Wu, Q., Bosomworth, C., Sun, Y., Cole, C.: Advanced friction measurements and their application for locomotive traction-track damage studies. In: Proceedings of the Conference on Railway Excellence (CORE2018) - Rail: Smart, automated, sustainable, pp. 1–9. RTSA: Engineers Australia, Sydney (2018)Google Scholar
  5. 5.
    Spiryagin, M., Wolfs, P., Cole, C., Spiryagin, V., Sun, Y.Q., McSweeney, T.: Design and Simulation of Rail Vehicles. Ground Vehicle Engineering Series. CRC Press, Boca Raton (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Chris Bosomworth
    • 1
    • 2
    Email author
  • Qing Wu
    • 1
  • Maksym Spiryagin
    • 1
  • Colin Cole
    • 1
  1. 1.Centre for Railway EngineeringCentral Queensland UniversityRockhamptonAustralia
  2. 2.Insyte Solutions Pty LtdLammermoorAustralia

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