Prediction of artificial soil's unconfined compression strength test using statistical analyses and artificial neural networks

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dc.contributor.authorGunaydin, Osman
dc.contributor.authorGokoglu, Ali
dc.contributor.authorFener, Mustafa
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
dc.description.abstractLaboratory prediction of the unconfined compression strength (UCS) of cohesive soils is important to determine the shear strength properties. However, this study presents the application of different methods simple-multiple analysis and artificial neural networks for the prediction of the UCS from basic soil properties. Regression analysis and artificial neural networks prediction indicated that there exist acceptable correlations between soil properties and unconfined compression strength. Besides, artificial neural networks showed a higher performance than traditional statistical models for predicting UCS. Regression analysis and artificial neural network prediction indicated strong correlations (R(2) = 0.71-0.97) between basic soil properties and UCS. It has been shown that the correlation equations obtained by regression analyses are found to be reliable in practical situations. (C) 2010 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipNigde University Research Foundation [FEB 2009/23]
dc.description.sponsorshipThis study was financially supported in part by the Nigde University Research Foundation (Project No: FEB 2009/23).
dc.identifier.doi10.1016/j.advengsoft.2010.06.008
dc.identifier.endpage1123
dc.identifier.issn0965-9978
dc.identifier.issue9
dc.identifier.scopus2-s2.0-78049426061
dc.identifier.scopusqualityQ1
dc.identifier.startpage1115
dc.identifier.urihttps://dx.doi.org/10.1016/j.advengsoft.2010.06.008
dc.identifier.urihttps://hdl.handle.net/11480/4843
dc.identifier.volume41
dc.identifier.wosWOS:000281499100006
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofADVANCES IN ENGINEERING SOFTWARE
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial soil
dc.subjectUnconfined compression strength
dc.subjectSoil index properties
dc.subjectArtificial neural networks
dc.subjectStatistical analyses
dc.subjectCorrelation
dc.titlePrediction of artificial soil's unconfined compression strength test using statistical analyses and artificial neural networks
dc.typeArticle

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