"Critical particle size" and ballast gradation studied by Discrete Element Modeling

Xuecheng Bian, Hai Huang, Erol Tutumluer, Yin Gao

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, a Discrete Element Modeling (DEM) approach is used to evaluate the impacts of gradation on both ballast void space and load carrying performances. All existing ballast gradations were first represented by a set of "characteristic gradation curves". The effect of "characteristic gradations" on aggregate assembly volumetric properties is then studied by using DEM. It is found that ballast particles with size around half of the nominal maximum size are not favorable as they separate major particle contacts and introduce extra voids i.e. decrease the overall density of the ballast. To test the effect of this particle size on ballast load carrying capability full-scale ballast layers with common gradations listed in the American Railway Engineering and Maintenance-of-Way Association (AREMA) specifications for main line railroads are generated and tested in DEM. Also, the lab test for the modeling was conducted to verify the modeling results. Repeated train loading is applied to investigate the structural performances by means of comparing settlements occurred after certain volume of traffic. Introducing ballast particles with size finer than half of the nominal maximum size was again not favorable because it yields the maximum ballast settlement. This finding is believed to provide insight into optimizing ballast layer aggregate gradations for better railroad track performances.

Original languageEnglish (US)
Pages (from-to)38-44
Number of pages7
JournalTransportation Geotechnics
Volume6
DOIs
StatePublished - Mar 1 2016

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Transportation
  • Geotechnical Engineering and Engineering Geology

Fingerprint Dive into the research topics of '"Critical particle size" and ballast gradation studied by Discrete Element Modeling'. Together they form a unique fingerprint.

Cite this