CQUniversity
Browse

File(s) not publicly available

Simulation of long train dynamics with the consideration of wheel-rail contact

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.

Funding

Category 3 - Industry and Other Research Income

History

Editor

Klomp M; Bruzelius F; Nielsen J; Hillemyr A

Start Page

466

End Page

473

Number of Pages

8

Start Date

2019-08-12

Finish Date

2019-08-16

eISSN

2195-4364

ISSN

2195-4356

ISBN-13

9783030380762

Location

Gothenburg, Sweden

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

26th Symposium of the International Association of Vehicle System Dynamics (IAVSD 2019)

Usage metrics

    CQUniversity

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC