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

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dc.contributor.author Ornek, Murat
dc.contributor.author Laman, Mustafa
dc.contributor.author Demir, Ahmet
dc.contributor.author Yildiz, Abdulazim
dc.date.accessioned 2019-11-04T06:50:14Z
dc.date.available 2019-11-04T06:50:14Z
dc.date.issued 2012-02
dc.identifier.citation Ornek, M., Laman, M., Demir, A., & Yildiz, A. (2012). Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil. Soils and Foundations, 52(1), 69-80. https://doi.org/10.1016/j.sandf.2012.01.002 tr_TR
dc.identifier.issn 0038-0806
dc.identifier.uri http://openaccess.adanabtu.edu.tr:8080/xmlui/handle/123456789/498
dc.identifier.uri https://doi.org/10.1016/j.sandf.2012.01.002
dc.description WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
dc.description.abstract The 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. tr_TR
dc.language.iso en tr_TR
dc.publisher SOILS AND FOUNDATIONS / Japanese Geotechnical Society tr_TR
dc.relation.ispartofseries 2012;VL: 52 IS: 1
dc.subject Bearing capacity tr_TR
dc.subject Clay Field test
dc.subject Footing Granular material
dc.subject Load test
dc.subject Neural networks
dc.title Prediction of bearing capacity of circular footings on soft clay stabilized with granular soil tr_TR
dc.type Article tr_TR

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