Skip to main content

Research Repository

Advanced Search

DEM study of an “avatar” railway ballast with real particle shape, fabric and contact mechanics

Tolomeo, Mathias; McDowell, Glenn R.

DEM study of an “avatar” railway ballast with real particle shape, fabric and contact mechanics Thumbnail


Authors

Mathias Tolomeo



Abstract

In this paper we show DEM simulations of static and cyclic large triaxial tests on a sample of railway ballast. The sample is reconstructed from X-Ray tomography images of an untested laboratory sample, recovered by impregnation with an epoxy resin. Measurements of both shape and fabric are carried out; the sample shows a high anisotropy of particle orientations due to the preparation procedure and a high shape heterogeneity. A DEM model is then generated using clumps to model single particles, preserving the shape of each particle and the fabric of the sample. Results of static and cyclic simulations are shown and compared with previous simulations on numerically generated samples, showing the importance of an accurate representation of the whole range of particle shapes, as well as confirming the effect of particle anisotropy on the mechanical response.

Citation

Tolomeo, M., & McDowell, G. R. (2023). DEM study of an “avatar” railway ballast with real particle shape, fabric and contact mechanics. Granular Matter, 25(2), Article 32. https://doi.org/10.1007/s10035-023-01322-1

Journal Article Type Article
Acceptance Date Mar 6, 2023
Online Publication Date Mar 29, 2023
Publication Date May 1, 2023
Deposit Date Apr 3, 2023
Publicly Available Date Apr 3, 2023
Journal Granular Matter
Print ISSN 1434-5021
Electronic ISSN 1434-7636
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 25
Issue 2
Article Number 32
DOI https://doi.org/10.1007/s10035-023-01322-1
Keywords Discrete element method; Railway ballast; Triaxial test; Particle shape; X-ray computed tomography
Public URL https://nottingham-repository.worktribe.com/output/19212277
Publisher URL https://link.springer.com/article/10.1007/s10035-023-01322-1

Files





Downloadable Citations