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dc.contributor.authorDanial Behnia
dc.contributor.authorMichael T. Hendry
dc.contributor.authorParisa Haji Abdulrazagh
dc.contributor.authorAlbert Wahba
dc.date.accessioned2022-08-18T12:35:54Z
dc.date.available2022-08-18T12:35:54Z
dc.date.issued2022/04/28
dc.identifier.otherJTEPBS.0000685.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286879
dc.description.abstractDynamic load factors (ϕ) relate the magnitude of vertical wheel-to-rail loads in operation (dynamic loads) to static loads resulting from the weight of the rail car and its contents, as a function of train speed. The ϕ equations are often used in the selection of rail steel and cross-sections (weight). Equations for ϕ have been put forth by the American Railway Engineering and Maintenance-of-Way Association (AREMA) and others. A limitation of the existing ϕ equations is that they have been derived from loads measured at instrumented sections of track and observe the many wheel loads but with constant track conditions. For this study, measurements of dynamic loads from two instrumented wheelset (IWS) as it conducted four passes over a 340 km section of track operated by a North American Class 1 freight railway through the Canadian Prairies. These measurements provided dynamic loads from one loaded freight car over various track structures at differing train speeds. This paper presents the IWS data sets and the variation of dynamic loads between multiple passes of the section of track studied, and the statistical distribution of dynamic loads. New ϕ equations are developed for tangent track and nontangent track (inclusive of bridges, grade crossings, curves, and switches).
dc.publisherASCE
dc.titleRailway Dynamic Load Factors Developed from Instrumented Wheelset Measurements
dc.typeJournal Article
dc.journal.volume148
dc.journal.issue7
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.0000685
dc.journal.fristpage04022042
dc.journal.lastpage04022042-7
dc.page7
dc.treeJournal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 007
dc.contenttypeFulltext


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