A Critical Review on the Performance of Pile-Supported Rail Embankments under Cyclic Loading: Numerical Modeling Approach

Riyad, ASM; Ferreira, FB; Indraratna, B; Ngo, T

A Critical Review on the Performance of Pile-Supported Rail Embankments under Cyclic Loading: Numerical Modeling Approach

Riyad, ASM Ferreira, FB Indraratna, B

Ngo, T

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Sustainability, 2021, 13, (5), pp. 1-24
Issue Date:: 2021-02-26

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Field	Value	Language
dc.contributor.author	Riyad, ASM
dc.contributor.author	Ferreira, FB
dc.contributor.author	Indraratna, B https://orcid.org/0000-0002-9057-1514
dc.contributor.author	Ngo, T
dc.date.accessioned	2021-10-12T21:25:17Z
dc.date.available	2021-10-12T21:25:17Z
dc.date.issued	2021-02-26
dc.identifier.citation	Sustainability, 2021, 13, (5), pp. 1-24
dc.identifier.issn	2071-1050
dc.identifier.issn	2071-1050
dc.identifier.uri	http://hdl.handle.net/10453/151069
dc.description.abstract	Searching for economical and practical solutions to increase any transport substructure’s protection and stability is critical for ensuring the long-term viability and adequate load-bearing capacity. Piles are increasingly being used as an economical and environmentally sustainable solution to enhance the strength of soft subgrade soils on which embankments are raised. As per the available literature, there are two main strategies used to explain railway embankments’ performance: experimental approaches and numerical simulations on a broad scale. The purpose of this study is to examine the state-of-the-art literature on numerical modeling methods adopted to assess the performance of pile-supported rail embankments subjected to cyclic loading. The paper addresses the main results from various numerical methods to explain the appropriate mechanisms associated with the load deformation response. It also presents the key issues and drawbacks of these numerical methods concerning rail embankment development while outlining the specific shortcomings and research gaps relevant to enhanced future design and analysis.
dc.language	English
dc.publisher	MDPI AG
dc.relation.ispartof	Sustainability
dc.relation.isbasedon	10.3390/su13052509
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	12 Built Environment and Design
dc.title	A Critical Review on the Performance of Pile-Supported Rail Embankments under Cyclic Loading: Numerical Modeling Approach
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	12 Built Environment and Design
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
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-10-12T21:25:11Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	5

Abstract:

Searching for economical and practical solutions to increase any transport substructure’s protection and stability is critical for ensuring the long-term viability and adequate load-bearing capacity. Piles are increasingly being used as an economical and environmentally sustainable solution to enhance the strength of soft subgrade soils on which embankments are raised. As per the available literature, there are two main strategies used to explain railway embankments’ performance: experimental approaches and numerical simulations on a broad scale. The purpose of this study is to examine the state-of-the-art literature on numerical modeling methods adopted to assess the performance of pile-supported rail embankments subjected to cyclic loading. The paper addresses the main results from various numerical methods to explain the appropriate mechanisms associated with the load deformation response. It also presents the key issues and drawbacks of these numerical methods concerning rail embankment development while outlining the specific shortcomings and research gaps relevant to enhanced future design and analysis.

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http://hdl.handle.net/10453/151069