Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil

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dc.authoridYildiz, Abdulazim/0000-0002-6755-1902
dc.contributor.authorOrnek, Murat
dc.contributor.authorLaman, Mustafa
dc.contributor.authorDemir, Ahmet
dc.contributor.authorYildiz, Abdulazim
dc.date.accessioned2024-09-18T20:04:21Z
dc.date.available2024-09-18T20:04:21Z
dc.date.issued2012
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThe shortage of available and suitable construction sites in city centres has led to the increased use of problematic areas, where the bearing capacity of the underlying deposits is very low. The reinforcement of these problematic soils with granular fill layers is one of the soil improvement techniques that are widely used. Problematic soil behaviour can be improved by totally or partially replacing the inadequate soils with layers of compacted granular fill. The study presented herein describes the use of artificial neural networks (ANNs), and the multi-linear regression model (MLR) to predict the bearing capacity of circular shallow footings supported by layers of compacted granular fill over natural clay soil. The data used in running the network models have been obtained from an extensive series of field tests, including large-scale footing diameters. The field tests were performed using seven different footing diameters, up to 0.90 m, and three different granular fill layer thicknesses. The results indicate that the use of granular fill layers over natural clay soil has a considerable effect on the bearing capacity characteristics and that the ANN model serves as a simple and reliable tool for predicting the bearing capacity of circular footings in stabilized natural clay soil. (C) 2012. The Japanese Geotechnical Society. Production and hosting by Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipTUBITAK (Scientific and Technological Research Council of Turkey) [106M496]; Cukurova University Scientific Research Project Directorate [MMF2006D28]en_US
dc.description.sponsorshipThe work presented in this paper was carried out with funding from TUBITAK (Scientific and Technological Research Council of Turkey), Grant no. 106M496, and the Cukurova University Scientific Research Project Directorate, Grant no. MMF2006D28.en_US
dc.identifier.doi10.1016/j.sandf.2012.01.002
dc.identifier.endpage80en_US
dc.identifier.issn0038-0806
dc.identifier.issn2524-1788
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84864853226en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage69en_US
dc.identifier.urihttps://doi.org/10.1016/j.sandf.2012.01.002
dc.identifier.urihttps://hdl.handle.net/20.500.12483/8101
dc.identifier.volume52en_US
dc.identifier.wosWOS:000305314700006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherJapanese Geotechnical Socen_US
dc.relation.ispartofSoils and Foundationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBearing capacityen_US
dc.subjectClayen_US
dc.subjectField testen_US
dc.subjectFootingen_US
dc.subjectGranular materialen_US
dc.subjectLoad testen_US
dc.subjectNeural networksen_US
dc.titlePrediction of bearing capacity of circular footings on soft clay stabilized with granular soilen_US
dc.typeArticleen_US

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