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Cost-Based Optimization of Track Geometry Inspection
Luleå tekniska universitet, Drift, underhåll och akustik.ORCID-id: 0000-0002-3266-2434
Luleå tekniska universitet, Drift, underhåll och akustik.ORCID-id: 0000-0001-7083-4009
Machine Design and Production Engineering Lab, Research Institute for the Science and Management of Risks, University of Mons.
Trafikverket.
Vise andre og tillknytning
Ansvarlig organisasjon
2016 (engelsk)Konferansepaper, Oral presentation only (Fagfellevurdert)
Abstract [en]

Track geometry bear huge static and dynamic forces that accelerate degradation process. As a result, railway track should be inspected regularly to detect geometry faults and to plan maintenance actions in advanced. An inspection plan that minimizes track maintenance cost is highly desirable by infrastructure managers. This paper proposes constructing an integrated model to identify the optimum track geometry inspection interval. To this end, it develops a long term prediction model combining degradation, shock event, and tamping recovery models. It applies the Wiener process to model track geometry degradation, simulates shock event times using an exponential distribution, and uses a probabilistic model to model recovery after tamping. With the proposed integrated model and simulation, it is possible to identify the optimum track geometry inspection frequencies that minimize total track maintenance costs.

sted, utgiver, år, opplag, sider
2016.
Serie
Trafikverkets forskningsportföljer
HSV kategori
Forskningsprogram
FOI-portföljer, Vidmakthålla
Identifikatorer
URN: urn:nbn:se:trafikverket:diva-6072Lokal ID: c55ed309-0501-42a8-805f-d86f7f125a90OAI: oai:DiVA.org:trafikverket-6072DiVA, id: diva2:1744162
Konferanse
World Congress of Railway Research : 29/05/2016 - 02/06/2016
Prosjekter
Simulering av spårgeometri
Forskningsfinansiär
Swedish Transport Administration, TRV 2017/123291
Merknad

Godkänd; 2016; 20160826 (solmei)

Tilgjengelig fra: 2023-03-17 Laget: 2023-03-17 Sist oppdatert: 2023-03-17bibliografisk kontrollert

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Soleimanmeigouni, ImanAhmadi, AlirezaKumar, Uday

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Soleimanmeigouni, ImanAhmadi, AlirezaKumar, Uday

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