• Proceedings of the KSR Conference
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• 1998.05a
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• pp.580-587
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• 1998

For many decades, the railway was constructed using tracks with jointed rails of relatively short lengths in accordance with rolling and handling technology. The joints cause many drawbacks in the track and lead to significant maintenance cost. So, railroad engineers became interested in eliminating joints to increase service loads and speeds by improving rolling, welding, and fastening technology, Continuous welded rail(CWR) track has many advantages over the conventional jointed-rail track. But in the case of the elimination of rail joints, it may cause the track to be suddenly buckled laterally by thermal and vehicle loads. Thermal loads are caused by an increase in the temperature of railway track. In this paper, CWR track model and CWRB program are developed for linear buckling analysis using finite element method(FEM). The finite element discretization is used with a total of 14 degrees of freedom for each rail element. The stiffness of the fastener, tie, and ballast bed are included by a set of spring elements. The investigation on the buckling modes and temperature of CWR track is presented in the paper.

• Journal of the Korean Geotechnical Society
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• v.40 no.4
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• pp.145-154
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• 2024

This study used the discrete element method (DEM) to model the driving process of open-ended piles and investigate the behavior of soil plug during pile penetration. The developed DEM model was verified by comparing model pile test results and numerical analysis, particularly using a contact model considering rolling resistance between soil particles. The study successfully simulated soil compression inside the pile by adjusting the relative density and penetration velocity, and it was confirmed that the soil plug tended to be more compressed as the initial penetration velocity decreased. Soil plug length measurements, plug length ratio, and incremental filling ratio were analyzed and validated against experimental results. The developed DEM model aims to reduce trial and error in further studies by detailing the modeling and verification process.