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

被引:33
|
作者
Bian, Xuecheng [1 ]
Huang, Hai [2 ]
Tutumluer, Erol [3 ]
Gao, Yin [4 ]
机构
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310003, Zhejiang, Peoples R China
[2] Penn State Univ, Rail Transportat Engn, Altoona, PA 16601 USA
[3] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL USA
[4] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA
关键词
Discrete Element Modeling; Ballast gradation; Critical particle size; Ballast settlement; Track maintenance;
D O I
10.1016/j.trgeo.2016.01.002
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:38 / 44
页数:7
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