Genetic programming approach for prediction of compressive strength of concretes containing rice husk ash

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dc.contributor.authorSaridemir, Mustafa
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2010
dc.departmentNiğde ÖHÜ
dc.description.abstractSoft computing techniques have recently been widely used to model some of human activities in many areas of civil engineering applications. In this paper, two models in gene expression programming (GEP) approach for predicting compressive strength of concretes containing rice husk ash have been developed at the age of 1, 3, 7, 14, 28, 56 and 90 days. For purpose of building the models, experimental results for 188 specimens produced with 41 different mixture proportions are obtained from the literature. According to these experimental results, the models are arranged by using seven different input variables in GEP approach. In according to these input variables, the compressive strength values from mechanical properties of concretes containing rice husk ash are predicted in GEP approach models. The results of training, testing and validation sets of the models are compared with experimental results. All of the results showed that GEP is a strong technique for the prediction of compressive strength values of concretes containing rice husk ash. (C) 2010 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.conbuildmat.2010.04.011
dc.identifier.endpage1919
dc.identifier.issn0950-0618
dc.identifier.issue10
dc.identifier.scopus2-s2.0-77955281258
dc.identifier.scopusqualityQ1
dc.identifier.startpage1911
dc.identifier.urihttps://dx.doi.org/10.1016/j.conbuildmat.2010.04.011
dc.identifier.urihttps://hdl.handle.net/11480/4833
dc.identifier.volume24
dc.identifier.wosWOS:000279650900014
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorSaridemir, Mustafa
dc.language.isoen
dc.publisherELSEVIER SCI LTD
dc.relation.ispartofCONSTRUCTION AND BUILDING MATERIALS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRice husk ash
dc.subjectCompressive strength
dc.subjectGene expression programming
dc.titleGenetic programming approach for prediction of compressive strength of concretes containing rice husk ash
dc.typeArticle

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