CQUniversity
Browse

Model to estimate infrastructure damage costs for different train types

journal contribution
posted on 2018-07-18, 00:00 authored by Dwayne Nielsen, Maksym SpiryaginMaksym Spiryagin, Colin ColeColin Cole
Generally, rail has been losing its market share of bulk freight transport. Australian railways have an opportunity to improve the performance and meet the freight transport challenges of the twenty-first century, but a particular challenge is older infrastructure and networks with lower utilisation. Railway systems constructed in the 1800s, included numerous small radius curves, steeper grades and sub-standard formation, which would nowadays likely require additional maintenance funding to ensure the track is maintained at the required standard. As each train type applies a different quantifiable level of track damage for a given track geometry, and as the cost to repair/maintain this track is known, then it is possible to develop a transparent cost model to estimate the incremental infrastructure costs for each train type. Therefore, a wear/damage model was selected based on data derived from train simulations and track degradation analysis. This model provides an indication of the expected infrastructure maintenance budget based on train types (train configurations, vehicle axle loads, bogie parameters and wheel profiles), operational requirements (volumes, speeds) and the local track characteristics (track geometry, sleeper type, ballast/formation parameters and rail profiles). While, track damage models are currently available for railway vehicles on passenger networks, comprehensive heavy haul track damage models are still in their infancy. This paper publishes a summarised review from the first phase of this project.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

17

Issue

3

Start Page

219

End Page

231

Number of Pages

13

ISSN

1448-4846

Publisher

Engineers Media for Engineers Australia

Peer Reviewed

  • Yes

Open Access

  • No

Acceptance Date

2017-07-20

Author Research Institute

  • Centre for Railway Engineering

Era Eligible

  • Yes

Journal

Australian Journal of Mechanical Engineering

Usage metrics

    CQUniversity

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC