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AuthorAlabbasi, Yahia
AuthorHussein, Mohammed F.M.
Available date2020-05-15T00:15:05Z
Publication Date2019
Publication NameCOMPDYN Proceedings
ResourceScopus
ISSN26233347
URIhttp://dx.doi.org/10.7712/120119.6961.19594
URIhttp://hdl.handle.net/10576/14946
AbstractThe use of railway transportation systems has been increased throughout the years. Conventional ballasted tracks have been widely used in many countries around the world. Ballast material is the basic element in ballasted track, it degrades and deforms after service. Therefore, periodical ballast maintenance is required which is a cost and time expensive activity. Understanding of ballast behavior leads to efficient design and maintenance. From the literature, Discrete Element Method is used extensively to understand the behavior of railroad ballast through box test. However, most researches in the literature simulate the train loading as a pure continuous sinusoid unlike the actual loading induced by the trains. This paper aims to show the influence of simulated loading of moving train on the dynamic behavior of railroad ballast using box test via DEM. The paper utilizes the theory of Beam on Elastic Foundation to simulate a more realistic loading on railroad ballast. The results from the simulated train load are compared with those from a sinusoidal load. The results show a difference up to 6.89% between simulated train and sinusoidal loading. Copyright 2019 COMPDYN Proceedings. All rights reserved.
SponsorThis work has been carried out under a research project entitled "Framework for Research on Railway Engineering" which is supported by a grant sponsored by Qatar Rail with a grant reference number: QUEX-CENG-Rail 17/18.
Languageen
PublisherNational Technical University of Athens
SubjectDEM
Discrete Element Method
Granular Material
Numerical Modelling
Railroad Ballast
Railway
TitleInvestigating the behavior of railroad ballast in a box test under sinusoidal & simulated train loading
TypeConference
Pagination833-841
Volume Number1
dc.accessType Abstract Only


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