Modeling the performance of stone column-reinforced soft ground under static and cyclic loads

Basack, S; Indraratna, B; Rujikiatkamjorn, C

Modeling the performance of stone column-reinforced soft ground under static and cyclic loads

Basack, S Indraratna, B

Rujikiatkamjorn, C

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Publisher:: ASCE-AMER SOC CIVIL ENGINEERS
Publication Type:: Journal Article
Citation:: Journal of Geotechnical and Geoenvironmental Engineering, 2016, 142, (2)
Issue Date:: 2016-02-01

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Field	Value	Language
dc.contributor.author	Basack, S
dc.contributor.author	Indraratna, B https://orcid.org/0000-0002-9057-1514
dc.contributor.author	Rujikiatkamjorn, C https://orcid.org/0000-0001-8625-2839
dc.date.accessioned	2022-02-21T04:08:45Z
dc.date.available	2022-02-21T04:08:45Z
dc.date.issued	2016-02-01
dc.identifier.citation	Journal of Geotechnical and Geoenvironmental Engineering, 2016, 142, (2)
dc.identifier.issn	1090-0241
dc.identifier.issn	1943-5606
dc.identifier.uri	http://hdl.handle.net/10453/154725
dc.description.abstract	Installing stone columns is a convenient method of soft ground improvement. Although several analytical and numerical solutions are available to predict the performance of stone column-improved soft ground, these models are incapable of capturing the influence of cyclic loading on transport corridors, such as highways and railways. The authors developed a novel finite-difference model adopting modified Cam clay theory to analyze the response of stone column-reinforced soft soil under static and cyclic loadings. Apart from predicting excess pore water pressure dissipation and the resulting settlement, the model also captures the effect of cyclic loading by considering yield surface contraction. The solutions developed were validated using available field observations and laboratory test results. The model was successfully applied to a selected case study at the Australian National Field Testing Facility at Ballina, New South Wales, Australia. The limitations of the proposed model are highlighted as well.
dc.language	English
dc.publisher	ASCE-AMER SOC CIVIL ENGINEERS
dc.relation.ispartof	Journal of Geotechnical and Geoenvironmental Engineering
dc.relation.isbasedon	10.1061/(ASCE)GT.1943-5606.0001378
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0907 Environmental Engineering
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Modeling the performance of stone column-reinforced soft ground under static and cyclic loads
dc.type	Journal Article
utslib.citation.volume	142
utslib.for	0905 Civil Engineering
utslib.for	0907 Environmental Engineering
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	closed_access	*
dc.date.updated	2022-02-21T04:08:39Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	142
utslib.citation.issue	2

Abstract:

Installing stone columns is a convenient method of soft ground improvement. Although several analytical and numerical solutions are available to predict the performance of stone column-improved soft ground, these models are incapable of capturing the influence of cyclic loading on transport corridors, such as highways and railways. The authors developed a novel finite-difference model adopting modified Cam clay theory to analyze the response of stone column-reinforced soft soil under static and cyclic loadings. Apart from predicting excess pore water pressure dissipation and the resulting settlement, the model also captures the effect of cyclic loading by considering yield surface contraction. The solutions developed were validated using available field observations and laboratory test results. The model was successfully applied to a selected case study at the Australian National Field Testing Facility at Ballina, New South Wales, Australia. The limitations of the proposed model are highlighted as well.

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http://hdl.handle.net/10453/154725