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Elevated Temperature Effects on Geo-Polymer Concrete: An Experimental and Numerical-Review Study

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dc.citedby1
dc.contributor.authorTurkey F.A.en_US
dc.contributor.authorBeddu S.B.T.en_US
dc.contributor.authorAl-Hubboubi S.K.en_US
dc.contributor.authorFawzi N.M.en_US
dc.contributor.authorid57819385900en_US
dc.contributor.authorid55812080500en_US
dc.contributor.authorid57202304860en_US
dc.contributor.authorid57205102865en_US
dc.date.accessioned2024-10-14T03:20:31Z
dc.date.available2024-10-14T03:20:31Z
dc.date.issued2023
dc.description.abstractThe manufacture of cement plays a substantial role in the emission of carbon dioxide (CO2) into the atmosphere, hence exacerbating the adverse impacts of global warming. Consequently, the emergence of Geo-Polymer concrete has presented itself as a potentially feasible substitute owing to its commendable environmental sustainability. This manuscript provides a comprehensive analysis of prominent studies investigating the effects of increased temperatures and fire exposure on concrete across its entire operating duration. This study examines the significant impacts on the fundamental physical and mechanical characteristics of concrete, as revealed by laboratory experiments. Furthermore, this review comprehensively examines previous research endeavors that have used machine learning methodologies to predict tangible actions, aiming to optimize resource allocation, time efficiency, and cost-effectiveness in laboratory inquiries. Geo-Polymer concretes have exhibited remarkable resistance to elevated temperatures and severe fires, as evidenced by laboratory and field assessments of cracking, spalling, and strength degradation. Prior studies have demonstrated that both the aggregate type and temperature have a substantial impact on the degradation of compressive strength. Moreover, previous research has indicated that Geo-Polymeric concrete, which is comprised of fly ash, exhibits superior heat resistance compared to conventional concrete using Portland cement, withstanding temperatures of up to 400 degrees Celsius. This research also highlights the widespread adoption of the Artificial Neural Network (ANN) technique in forecasting the compressive strength of conventional concrete. Conversely, alternative approaches such as the Genetic Weighted Pyramid Operation Tree (GWPOT) are preferred for high-performance concrete. The primary objective of this extensive investigation is to establish a fundamental basis for future studies on sustainable alternatives to concrete and approaches for predictive modeling. � 2023 Lavoisier. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.18280/acsm.470507
dc.identifier.epage340
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85178266256
dc.identifier.spage325
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85178266256&doi=10.18280%2facsm.470507&partnerID=40&md5=25a85d26d49d8aa7f335b7e56bd2f5b5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34541
dc.identifier.volume47
dc.pagecount15
dc.publisherInternational Information and Engineering Technology Associationen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofHybrid Gold Open Access
dc.sourceScopus
dc.sourcetitleAnnales de Chimie: Science des Materiaux
dc.subjectexperimental test
dc.subjectGeo-Polymer concrete
dc.subjecthigh temperature
dc.subjectnumerical models
dc.titleElevated Temperature Effects on Geo-Polymer Concrete: An Experimental and Numerical-Review Studyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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