Decision tree approach for soil liquefaction assessment.

Gandomi, AH; Fridline, MM; Roke, DA

Decision tree approach for soil liquefaction assessment.

Gandomi, AH Fridline, MM Roke, DA

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Publisher:: HINDAWI LTD
Publication Type:: Journal Article
Citation:: ScientificWorldJournal, 2013, 2013, pp. 346285
Issue Date:: 2013

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Field	Value	Language
dc.contributor.author	Gandomi, AH
dc.contributor.author	Fridline, MM
dc.contributor.author	Roke, DA
dc.date.accessioned	2023-03-13T22:50:18Z
dc.date.available	2013-10-01
dc.date.available	2023-03-13T22:50:18Z
dc.date.issued	2013
dc.identifier.citation	ScientificWorldJournal, 2013, 2013, pp. 346285
dc.identifier.issn	2356-6140
dc.identifier.issn	1537-744X
dc.identifier.uri	http://hdl.handle.net/10453/167188
dc.description.abstract	In the current study, the performances of some decision tree (DT) techniques are evaluated for postearthquake soil liquefaction assessment. A database containing 620 records of seismic parameters and soil properties is used in this study. Three decision tree techniques are used here in two different ways, considering statistical and engineering points of view, to develop decision rules. The DT results are compared to the logistic regression (LR) model. The results of this study indicate that the DTs not only successfully predict liquefaction but they can also outperform the LR model. The best DT models are interpreted and evaluated based on an engineering point of view.
dc.format	Electronic-eCollection
dc.language	eng
dc.publisher	HINDAWI LTD
dc.relation.ispartof	ScientificWorldJournal
dc.relation.isbasedon	10.1155/2013/346285
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	General Science & Technology
dc.subject.mesh	Decision Trees
dc.subject.mesh	Earthquakes
dc.subject.mesh	Models, Theoretical
dc.subject.mesh	Soil
dc.subject.mesh	Soil
dc.subject.mesh	Decision Trees
dc.subject.mesh	Models, Theoretical
dc.subject.mesh	Earthquakes
dc.subject.mesh	Decision Trees
dc.subject.mesh	Earthquakes
dc.subject.mesh	Models, Theoretical
dc.subject.mesh	Soil
dc.title	Decision tree approach for soil liquefaction assessment.
dc.type	Journal Article
utslib.citation.volume	2013
utslib.location.activity	United States
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-13T22:50:15Z
pubs.publication-status	Published online
pubs.volume	2013

Abstract:

In the current study, the performances of some decision tree (DT) techniques are evaluated for postearthquake soil liquefaction assessment. A database containing 620 records of seismic parameters and soil properties is used in this study. Three decision tree techniques are used here in two different ways, considering statistical and engineering points of view, to develop decision rules. The DT results are compared to the logistic regression (LR) model. The results of this study indicate that the DTs not only successfully predict liquefaction but they can also outperform the LR model. The best DT models are interpreted and evaluated based on an engineering point of view.

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http://hdl.handle.net/10453/167188