Estimation of ultimate loads of eccentric-inclined loaded strip footings rested on sandy soils

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dc.contributor.authorOrnek, Murat
dc.date.accessioned2024-09-18T20:32:54Z
dc.date.available2024-09-18T20:32:54Z
dc.date.issued2014
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractApart from the vertical axial loads, the footings of portal-framed buildings are often subjected to eccentric and eccentric-inclined loads caused by forces of earth pressures, earthquakes, water, wind, etc. Sometimes the corner of the column of these portal-framed buildings is located very close to the property line and hence subjected to eccentric and eccentric-inclined loading. The study presented herein describes the use of artificial neural networks (ANNs) and multi-linear regression model for the prediction of ultimate loads of eccentric and eccentric-inclined loaded strip footings. The data used in running of network models have been obtained from extensive series of laboratory model tests. The parameters investigated are the eccentricity ratio, the load inclination angle, the footing size, and the density of sand soil. A total of 50 laboratory model tests with four different footings rested on loose and dense sand have been performed. The eccentricity ratio (e/B) and inclination angle (i) changed from 0 to 0.5 and 0A degrees to 30A degrees with vertical direction, respectively. The measured ultimate load response of the strip footings has been compared with available theoretical prediction. The results of the experimental study proved that the soil density, the load eccentricity, and the load inclination had considerable effects on the load of the strip footings, and the ANN model serves as simple and reliable tool for predicting the behavior of eccentric and eccentric-inclined loaded strip footings.en_US
dc.description.sponsorshipMustafa Kemal University Scientific Research Project Directorate [1202 M 0102]en_US
dc.description.sponsorshipThe author thanks the Mustafa Kemal University Scientific Research Project Directorate for supporting this study (Project No: 1202 M 0102).en_US
dc.identifier.doi10.1007/s00521-013-1444-5
dc.identifier.endpage54en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84902511067en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage39en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-013-1444-5
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11206
dc.identifier.volume25en_US
dc.identifier.wosWOS:000338191300004en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModel testen_US
dc.subjectStrip footingen_US
dc.subjectEccentric loadingen_US
dc.subjectInclined loadingen_US
dc.subjectSanden_US
dc.subjectNeural networksen_US
dc.titleEstimation of ultimate loads of eccentric-inclined loaded strip footings rested on sandy soilsen_US
dc.typeArticleen_US

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