| Issue |
E3S Web Conf.
Volume 730, 2026
International Conference on Advances and Innovations in Soft Soil Engineering (Soft Soils 2026)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 8 | |
| Section | Infrastructure Performance and Monitoring | |
| DOI | https://doi.org/10.1051/e3sconf/202673005003 | |
| Published online | 03 August 2026 | |
Boundary effects in DEM simulations of ballast under cyclic simple shear
1 Department of Geoscience and Engineering, Delft University of Technology, Delft, The Netherlands
2 Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Ballast is a key component of railway infrastructure, and its mechanical response can be assessed through laboratory testing to support construction and maintenance strategies. Due to the large particle size and the dependence on boundary measurements to characterise the mechanical behaviour of the ballast, the influence of boundary conditions on test results is critical. This study investigates the influence of the number of particles in contact with the top loading cap on the response of ballast subjected to cyclic simple shear using DEM. The initial contact condition is systematically varied to assess its effect on macroscopic behaviour and micromechanical evolution of the sample. Results show that the number of top boundary contacts strongly affects the macroscopic response during the first loading cycles. However, these differences progressively diminish with cycling, and samples with more than 50% of the maximum achievable contacts exhibit comparable macroscopic behaviour. At the micromechanical level, the coordination number in the central and bottom regions is largely unaffected by the top boundary condition. Furthermore, the top boundary effect primarily influences the strong normal force network, while the weak network remains largely isotropic. Finally, bulk force anisotropy is higher and less reversible than bulk fabric anisotropy. These findings highlight the importance of carefully performing the sample preparation, as it strongly influences the boundary conditions, therefore, the interpretation of laboratory measurements.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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