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contributor authorDanial Behnia
contributor authorMichael T. Hendry
contributor authorParisa Haji Abdulrazagh
contributor authorAlbert Wahba
date accessioned2022-08-18T12:35:54Z
date available2022-08-18T12:35:54Z
date issued2022/04/28
identifier otherJTEPBS.0000685.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286879
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).
publisherASCE
titleRailway Dynamic Load Factors Developed from Instrumented Wheelset Measurements
typeJournal Article
journal volume148
journal issue7
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/JTEPBS.0000685
journal fristpage04022042
journal lastpage04022042-7
page7
treeJournal of Transportation Engineering, Part A: Systems:;2022:;Volume ( 148 ):;issue: 007
contenttypeFulltext


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