Rail track degradation under mud pumping evaluated through site and laboratory investigations
Thanh Trung Nguyen and
Buddhima Indraratna
International Journal of Rail Transportation, 2022, vol. 10, issue 1, 44-71
Abstract:
This paper presents the results of field and laboratory studies of slurry tracks along the South Coast rail line in NSW, Australia. Site investigations on fouled tracks were followed by a series of laboratory tests to determine the properties of mud fines, and how they can reduce track performance. This study reveals two distinctly different ways of forming slurry tracks, i.e., non-subgrade and subgrade mud pumping, resulting in different characteristics of degraded tracks. More cohesive the fouling materials are, the greater the reduction in hydraulic conductivity (kb) and shear strength (Sb) of the contaminated ballast. When the fouling index FI > 30%, kb drops severely, causing insufficient drainage capacity of the track while the loss of Sb can exceed 22%. Different types of fouling index are also discussed with reference to the field and laboratory data, followed by proposed empirical equations to estimate the values of kb and Sb.
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/23248378.2021.1878947 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tjrtxx:v:10:y:2022:i:1:p:44-71
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjrt20
DOI: 10.1080/23248378.2021.1878947
Access Statistics for this article
International Journal of Rail Transportation is currently edited by Wanming Zhai and Kelvin C. P. Wang
More articles in International Journal of Rail Transportation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().