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A study of the track degradation process related to changes in railway traffic
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2004 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

This licentiate thesis presents the results of a research project concerning railroad maintenance. After acquiring the state-of-the-art knowledge in relevant areas a prediction model for railroad track degradation has been developed. The model is named DeCoTrack (Degradation Cost Of Track). The research study has been performed in a close collaboration with track experts at Banverket. The model simulates changes in degradation rate of the track due to changes in traffic characteristics. The inputs include for example parameters such as axle load, annual tonnage, speed, the mix of vehicle types and vehicle maintenance conditions. Outputs from the model are both track life length and the estimated degradation cost. When developing the model, results from research studies reported mainly from Europe and North America were combined with classical mechanical engineering theories, and empirical data from the last 20 years of railway transports in Sweden. By establishing compatible interfaces between the different input sources, information became easy to adapt to the model which was gradually implemented into an easy-to-use software. The model DeCoTrack has been verified mainly based on an extensive literature survey trying to find other comparative models and to relate their output to that from DeCoTrack. Out of 900 abstracts, 40 research works were found of interest and studied in detail. They led to three existing models: TMPM/ITDM - Track Maintenance Planning Model / Integrated Track Degradation Model TRACS - Total Right of Way Analysis and Costing System The Damage Exponent Heavy Axle Load Analysis These models turned out to be more complex than DeCoTrack and therefore it is more difficult to implement and use these models in real situations. In addition these models are also mainly focused on the modelling of uniform freight traffic while DeCoTrack can model and describe the track degradation due to mixed traffic. A direct comparison of outputs from these models has been done on traffic data where quantitative data were available. The correlations between outputs from DeCoTrack and the above mentioned models were good. A search for more external research work on freight traffic leads undoubtedly to U.S. and the AAR/TTC test centre in Colorado. All of the three models above refer in some way to data from that centre. When it comes to high speed goods or passenger traffic and related maintenance issues, the major sources of knowledge can be found in Germany, France and Japan. Future research is suggested to concentrate on vehicle classification. The domestic situation in Sweden with deregulation in traffic and mixed traffic on same routes highly prioritise such a decision. From an international perspective, that effort might bring a useful complement to the other models. They are focused on uniform freight traffic.

Abstract [sv]

Denna licentiatavhandling presenterar resultaten av ett forskningsprojekt om järnvägs-underhåll. Sedan aktuella kunskaper om relevanta områden inhämtats, har en modell för att förutsäga slitage av järnvägsspår utvecklats. Modellen benämns DeCoTrack (Degradation Cost Of Track). Forskningen har utförts i nära samarbete med spår-tekniska experter vid Banverket. Modellen simulerar hur spårets nedbrytning förändras med förändringar i tågtrafiken. Indata innefattar t ex parametrar såsom axellast, årligt tonnage, hastighet, blandning av fordonstyper och fordonens underhållskondition. Utdata från modellen är både spår-livslängd och den beräknade nedbrytningskostnaden. När modellen utvecklades, kombinerades resultat av studier i huvudsak utförda i Europa och Nordamerika med klassiska maskintekniska teorier och empiriska data från de senaste 20 årens järnvägs-trafik i Sverige. Genom att utforma kompatibla gränssnitt mellan de olika indata-källorna gjordes informationen lätt att anpassa till modellen, som gradvis implemente-rades i en lättanvänd programvara. Modellen DeCoTrack har främst verifierats genom en omfattande litteraturundersök-ning i syfte att hitta andra jämförbara modeller och att relatera deras utdata till DeCo-Tracks. Av 900 abstracts, befanns 40 arbeten vara av intresse och studerades ingående. De resulterade i tre befintliga modeller: • TMPM/ITDM - Track Maintenance Planning Model / Integrated Track Degradation Model • TRACS - Total Right of Way Analysis and Costing System • The Damage Exponent Heavy Axle Load Analysis Dessa modeller visade sig vara mera komplexa än DeCoTrack och det är därför svårare att implementera och använda dem i verkliga situationer. Dessutom är dessa modeller i huvudsak fokuserade på modellering av enhetlig godstrafik, medan DeCo-Track kan modellera och beskriva spårnedbrytning orsakat av blandad trafik. En direkt jämförelse av utdata från dessa modeller har utförts på trafikdata där kvantitativa data fanns tillgängliga. Korrelationerna mellan utdata från DeCoTrack och ovannämnda modeller var god. Sökande efter fler externa studier av godstrafik leder utan tvekan till USA och the AAR/TTC testcentrum i Colorado. Alla de tre ovannämnda modellerna refererar på ett eller annat sätt till data från detta centrum. När det gäller underhållsfrågor relaterade till snabbtåg och höghastighetståg så återfinns de främsta kunskapskällorna i Tyskland, Frankrike och Japan. Framtida forskning föreslås bli koncentrerad på fordonsklassificering. Den inhemska situationen i Sverige med avreglering av trafiken och blandad trafik på samma linjer ger hög prioritet ät ett sådant beslut. I ett internationellt perspektiv kan denna insats bli till ett användbart komplement till de andra modellerna. De är fokuserade på enhetlig godstrafik.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2004. , p. 56
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757 ; 2004:48
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-26572Local ID: ef3bdaa0-b2ba-11db-bf9d-000ea68e967bOAI: oai:DiVA.org:ltu-26572DiVA: diva2:999738
Note

Godkänd; 2004; 20070131 (ysko)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-24Bibliographically approved

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