A numerical investigation on the lateral resistance of frictional sleepers in ballasted railway tracks

作者：Zakeri Jabbar Ali^*; Esmaeili Morteza; Kasraei Ahmad; Bakhtiary Arash

来源：Proceedings of the Institution of Mechanical Engineers - Part F: Journal of Rail and Rapid Transit , 2016, 230(2): 440-449.

DOI：10.1177/0954409714543507

• Railway track
• hardening elasto-plastic model
• lateral resistance of frictional sleeper
• ballast layer

The lateral stability of ballasted railway tracks is a function of the lateral resistance of the sleepers created by interaction with ballast materials. Thus, one of the approaches for increasing the lateral resistance of sleepers has been to increase bottom friction and use frictional sleepers. A review of the technical literature showed that numerous experimental studies have been performed on this type of sleeper; however, no numerical analysis has been conducted on its lateral resistance. Therefore, this paper developed a finite element numerical model for investigating frictional concrete sleepers. In this regard, a hardening elasto-plastic behavior model was developed for the ballast layer and ABAQUS software was used to numerically analyze the lateral resistance of this type of concrete sleeper. Using the developed model, some sensitivity analyses were performed on the parameters that affect the lateral resistance including the thickness and extent of the ballast shoulder, and the friction coefficient between the ballast layer and sleeper. The obtained results indicated that increasing the ballast shoulder from 25 to 40cm resulted in about a 16-22% increase in lateral resistance, whereas increasing the friction coefficient from 0.1 to 0.8 led to about a 22-28% increase in the lateral resistance. On the other hand, on decreasing the ballast layer thickness from 30 to 20cm, the lateral resistance increased by about 12-17%. In summary, it can be concluded that, compared with conventional concrete sleepers, frictional sleepers increased the lateral resistance by about 63-70%.

• 出版日期2016-2