Identification of ballast grading for rail track

Sun, Y; Chen, C; Nimbalkar, S

Identification of ballast grading for rail track

Sun, Y Chen, C Nimbalkar, S

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Publication Type:: Journal Article
Citation:: Journal of Rock Mechanics and Geotechnical Engineering, 2017, 9 (5), pp. 945 - 954
Issue Date:: 2017-10-01

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Field	Value	Language
dc.contributor.author	Sun, Y	en_US
dc.contributor.author	Chen, C	en_US
dc.contributor.author	Nimbalkar, S https://orcid.org/0000-0002-1538-3396	en_US
dc.date.issued	2017-10-01	en_US
dc.identifier.citation	Journal of Rock Mechanics and Geotechnical Engineering, 2017, 9 (5), pp. 945 - 954	en_US
dc.identifier.issn	1674-7755	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124456
dc.description.abstract	© 2017 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences Grading has long been recognised to critically influence the mechanical behaviour of ballast. To identify the ballast grading for heavy-haul rail track, monotonic and cyclic triaxial tests are conducted to assess the performances of different gradings. Permanent deformations, aggregates degradation, resilience, shear resistance, maximum and minimum densities are recorded and analysed. The grading is found to affect the behaviour of ballast in that coarser gradings exhibit relatively better strength, resilience and therefore less permanent deformation. However, ballast degradation increases with the overall aggregate size. Therefore, to identify the grading for ballast with different performance objectives, a grey relational theory is used to convert the multi-objective into single-objective, i.e. grey relational grade. A relatively optimal grading that provides the highest grey relational grade is thus suggested for the improved ballast performance.	en_US
dc.relation.ispartof	Journal of Rock Mechanics and Geotechnical Engineering	en_US
dc.relation.isbasedon	10.1016/j.jrmge.2017.04.006	en_US
dc.title	Identification of ballast grading for rail track	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	9	en_US
utslib.for	0914 Resources Engineering and Extractive Metallurgy	en_US
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

© 2017 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences Grading has long been recognised to critically influence the mechanical behaviour of ballast. To identify the ballast grading for heavy-haul rail track, monotonic and cyclic triaxial tests are conducted to assess the performances of different gradings. Permanent deformations, aggregates degradation, resilience, shear resistance, maximum and minimum densities are recorded and analysed. The grading is found to affect the behaviour of ballast in that coarser gradings exhibit relatively better strength, resilience and therefore less permanent deformation. However, ballast degradation increases with the overall aggregate size. Therefore, to identify the grading for ballast with different performance objectives, a grey relational theory is used to convert the multi-objective into single-objective, i.e. grey relational grade. A relatively optimal grading that provides the highest grey relational grade is thus suggested for the improved ballast performance.

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http://hdl.handle.net/10453/124456