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Novel performance-based technique for predicting maintenance strategy of bitumen stabilised ballast

D'Angelo, Giacomo; Bressi, Sara; Giunta, Marinella; Lo Presti, Davide; Thom, Nick

Authors

Giacomo D'Angelo

Sara Bressi

Marinella Giunta

Davide Lo Presti

NICK THOM NICHOLAS.THOM@NOTTINGHAM.AC.UK
Assistant Professor



Abstract

Despite being the most used worldwide, railway ballasted tracks presents high maintenance cost related to ballast settlement and particle degradation. With the aim of reducing life cycle costs, bitumen stabilised ballast (BSB) has been recently proposed as a relatively cheap alternative maintenance solution to be applied to existing tracks. This study aims at assessing the potential advantages of this technology, defining a novel maintenance strategy of traditional ballasted track-beds. A protocol for the application of the BSB technology and its associated maintenance strategy is defined. To estimate minor and major maintenance operations of BSB scenario in comparison to traditional ballasted track-bed, an integrated model, based on laboratory tests, combining the evolution of track irregularities and ballast contamination with traffic, was used. Results together with a sensitivity analysis related to main parameters adopted revealed that the application of BSB is expected to provide a significant increase of intervals between both minor and major maintenance activities.

Citation

D'Angelo, G., Bressi, S., Giunta, M., Lo Presti, D., & Thom, N. (2018). Novel performance-based technique for predicting maintenance strategy of bitumen stabilised ballast. Construction and Building Materials, 161, 1-8. doi:10.1016/j.conbuildmat.2017.11.115

Journal Article Type Article
Acceptance Date Nov 20, 2017
Online Publication Date Nov 26, 2017
Publication Date Feb 10, 2018
Deposit Date Nov 23, 2018
Print ISSN 0950-0618
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 161
Pages 1-8
DOI https://doi.org/10.1016/j.conbuildmat.2017.11.115
Public URL https://nottingham-repository.worktribe.com/output/1213570
Publisher URL https://www.sciencedirect.com/science/article/pii/S0950061817323243