Cost optimization of high strength concretes by soft computing techniques

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dc.authoridBaykasoglu, Adil/0000-0002-4952-7239
dc.contributor.authorOzbay, Erdogan
dc.contributor.authorOztas, Ahmet
dc.contributor.authorBaykasoglu, Adil
dc.date.accessioned2024-09-18T20:26:44Z
dc.date.available2024-09-18T20:26:44Z
dc.date.issued2010
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractIn this study 72 different high strength concrete (HSC) mixes were produced according to the Taguchi design of experiment method. The specimens were divided into four groups based on the range of their compressive strengths 40-60, 60-80, 80-100 and 100-125 MPa. Each group included 18 different concrete mixes. The slump and air-content values of each mix were measured at the production time. The compressive strength, splitting tensile strength and water absorption properties were obtained at 28 days. Using this data the Genetic Programming technique was used to construct models to predict mechanical properties of HSC based on its constituients. These models, together with the cost data, were then used with a Genetic Algorithm to obtain an HSC mix that has minimum cost and at the same time meets all the strength and workability requirements. The paper describes details of the experimental results, model development, and optimization results.en_US
dc.identifier.endpage237en_US
dc.identifier.issn1598-8198
dc.identifier.issn1598-818X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-79958831382en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage221en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/10508
dc.identifier.volume7en_US
dc.identifier.wosWOS:000287545500002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofComputers and Concreteen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjecthigh-strength concreteen_US
dc.subjectgenetic algorithmen_US
dc.subjectgenetic programmingen_US
dc.subjectcost optimizationen_US
dc.titleCost optimization of high strength concretes by soft computing techniquesen_US
dc.typeArticleen_US

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