Computer-aided Optimization of Geopolymer Mortars

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Özet

The optimum mix design of geopolymers involves the purpose of determining which mixture will have high engineering properties without compromising the importance of each variable. This experimental study aimed to investigate the effects of some critical geopolymer mixture parameters on engineering properties by using historical data design in response surface methodology (RSM). Statistical models were developed between factors (binder and aggregate content, curing conditions and aggregate type) and their response surfaces (oven dry (OD) bulk density, water absorption, compressive strength and flexural strength). The final mathematical models for the response surfaces were constructed in terms of coded factors defined as dimensionless. In addition, a multipurpose optimization technique was used to achieve the desired design with the desired maximum strength.

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https://rdlopen.rawdatalibrary.net/r/munzur/1601Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.1007/s40996-022-00986-8Yayıncı resmi DOI adresi
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dc.contributor.authorGülmez, Nihan
dc.contributor.authorKoçkal, Niyazi Uğur
dc.date.accessioned2026-10-28T14:54:23.268416966Z
dc.date.available2026-10-28T14:54:23.268416966Z
dc.date.issued2023
dc.description.abstractThe optimum mix design of geopolymers involves the purpose of determining which mixture will have high engineering properties without compromising the importance of each variable. This experimental study aimed to investigate the effects of some critical geopolymer mixture parameters on engineering properties by using historical data design in response surface methodology (RSM). Statistical models were developed between factors (binder and aggregate content, curing conditions and aggregate type) and their response surfaces (oven dry (OD) bulk density, water absorption, compressive strength and flexural strength). The final mathematical models for the response surfaces were constructed in terms of coded factors defined as dimensionless. In addition, a multipurpose optimization technique was used to achieve the desired design with the desired maximum strength.
dc.description.sponsorshipAkdeniz Üniversitesi, (FDK-2016-1990)
dc.description.sponsorshipAkdeniz Üniversitesi
dc.identifier.doi10.1007/s40996-022-00986-8
dc.identifier.eissn2364-1843
dc.identifier.endpage1465
dc.identifier.issn2228-6160
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85141139173
dc.identifier.startpage1447
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/1601
dc.identifier.volume47
dc.identifier.wosWOS:000877999000002
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofIranian Journal of Science and Technology - Transactions of Civil Engineering
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBlast furnace slag
dc.subjectGeopolymer
dc.subjectIron
dc.subjectOptimization
dc.subjectSilica fume
dc.subjectSteel
dc.subject.classificationEngineering, Civil
dc.subject.classificationEngineering
dc.subject.otherASH-BASED GEOPOLYMER
dc.subject.otherBLAST-FURNACE SLAG
dc.subject.otherHIGH-PERFORMANCE CONCRETE
dc.subject.otherALKALI-ACTIVATED SLAG
dc.subject.otherFLY-ASH
dc.subject.otherMECHANICAL-PROPERTIES
dc.subject.otherSILICA FUME
dc.subject.otherSTRENGTH
dc.subject.otherDURABILITY
dc.subject.otherREPLACEMENT
dc.titleComputer-aided Optimization of Geopolymer Mortars
dc.typeArticle
rdl.citation.openalex0
rdl.citation.scopus0
rdl.citation.wos0
rdl.oa.statusclosed
rdl.scopus.quartileQ2
rdl.sdgSDG09
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)