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

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

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. https://doi.org/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