Mathematical Modeling of the Short-Term Performance of Railway Track Under Train-Induced Loading

Punetha, P; Nimbalkar, S

Mathematical Modeling of the Short-Term Performance of Railway Track Under Train-Induced Loading

Punetha, P

Nimbalkar, S

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Publisher:: https://link.springer.com/chapter/10.1007/978-3-030-77234-5_2
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Civil Engineering, 2022, 165, pp. 15-24
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Punetha, P https://orcid.org/0000-0002-0812-4708
dc.contributor.author	Nimbalkar, S https://orcid.org/0000-0002-1538-3396
dc.date.accessioned	2021-10-02T03:19:03Z
dc.date.available	2021-10-02T03:19:03Z
dc.date.issued	2022-01-01
dc.identifier.citation	Lecture Notes in Civil Engineering, 2022, 165, pp. 15-24
dc.identifier.isbn	9783030772338
dc.identifier.issn	2366-2557
dc.identifier.issn	2366-2565
dc.identifier.uri	http://hdl.handle.net/10453/150795
dc.description.abstract	The accurate prediction of the track deformation under train-induced repetitive loading is inevitable to assess the efficiency of a railway track. This paper presents an analytical technique to calculate the transient deformations in a railway track subjected to train-induced loading. The method considers the track substructure as multilayered media in which the behavior of an individual track layer is simulated using a mass-spring-dashpot model. Unlike existing approaches to model the track substructure as an equivalent single or double layer, the proposed analytical approach considers all the three layers of the ballasted track (i.e., ballast, capping or subballast and subgrade). The accuracy of the proposed technique is investigated by comparing the predicted values of track displacement with the published data available in the literature. The predicted results are found to be in good agreement with past studies. A parametric study on the substructure behavior revealed that the elastic modulus of track layers significantly influences the track response.
dc.language	en
dc.publisher	https://link.springer.com/chapter/10.1007/978-3-030-77234-5_2
dc.relation.ispartof	Lecture Notes in Civil Engineering
dc.relation.isbasedon	10.1007/978-3-030-77234-5_2
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Civil Engineering, 2022, 165, pp. 15-24]. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007/978-3-030-77234-5_2]”
dc.title	Mathematical Modeling of the Short-Term Performance of Railway Track Under Train-Induced Loading
dc.type	Conference Proceeding
utslib.citation.volume	165
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	recently_added	*
dc.date.updated	2021-10-02T03:19:02Z
pubs.publication-status	Accepted
pubs.volume	165

Abstract:

The accurate prediction of the track deformation under train-induced repetitive loading is inevitable to assess the efficiency of a railway track. This paper presents an analytical technique to calculate the transient deformations in a railway track subjected to train-induced loading. The method considers the track substructure as multilayered media in which the behavior of an individual track layer is simulated using a mass-spring-dashpot model. Unlike existing approaches to model the track substructure as an equivalent single or double layer, the proposed analytical approach considers all the three layers of the ballasted track (i.e., ballast, capping or subballast and subgrade). The accuracy of the proposed technique is investigated by comparing the predicted values of track displacement with the published data available in the literature. The predicted results are found to be in good agreement with past studies. A parametric study on the substructure behavior revealed that the elastic modulus of track layers significantly influences the track response.

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http://hdl.handle.net/10453/150795