Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018123
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dc.contributor.authorA. Vollprachtpt_BR
dc.contributor.authorG.J.G. Gluthpt_BR
dc.contributor.authorB. Rogierspt_BR
dc.contributor.authorQ.T. Phungpt_BR
dc.contributor.authorI.D. Uwanuakwapt_BR
dc.contributor.authorY. Villagran Zaccardipt_BR
dc.contributor.authorC. Thielpt_BR
dc.contributor.authorH. Vanoutrivept_BR
dc.contributor.authorJ.M. Etcheverrypt_BR
dc.contributor.authorE. Gruyaertpt_BR
dc.contributor.authorS. Kamali-Bernardpt_BR
dc.contributor.authorA. Kanellopoulospt_BR
dc.contributor.authorZ. Zhaopt_BR
dc.contributor.authorMartins, I. M.pt_BR
dc.contributor.authorS. Rathnarajanpt_BR
dc.contributor.authorDe Belie, N.pt_BR
dc.date.accessioned2025-01-13T10:05:22Zpt_BR
dc.date.accessioned2025-04-16T13:34:59Z-
dc.date.available2025-01-13T10:05:22Zpt_BR
dc.date.available2025-04-16T13:34:59Z-
dc.date.issued2024-10-23pt_BR
dc.identifier.citation10.1617/s11527-024-02465-0pt_BR
dc.identifier.urihttp://dspace2.lnec.pt:8080/jspui/handle/123456789/1018123pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1018123-
dc.description.abstractThe RILEM TC 281–CCC ‘‘Carbonation of concrete with supplementary cementitious materials’’ conducted a study on the effects of supplementary cementitious materials (SCMs) on the carbonation rate of blended cement concretes and mortars. In this context, a comprehensive database has been established, consisting of 1044 concrete and mortar mixes with their associated carbonation depth data over time. The dataset comprises mix designs with a large variety of binders with up to 94% SCMs, collected from the literature as well as unpublished testing reports. The data includes chemical composition and physical properties of the raw materials, mix-designs, compressive strengths, curing and carbonation testing conditions. Natural carbonation was recorded for several years in many cases with both indoor and outdoor results. The database has been analysed to investigate the effects of binder composition and mix design, curing and preconditioning, and relative humidity on the carbonation rate. Furthermore, the accuracy of accelerated carbonation testing as well as possible correlations between compressive strength and carbonation resistance were evaluated. One approach to summerise the physical and chemical resistance in one parameter is the ratio of water content to content of carbonatable CaO (w/CaOreactive ratio). The analysis revealed that the w/CaOreactive ratio is a decisive factor for carbonation resistance, while curing and exposure conditions also influence carbonation. Under natural exposure conditions, the carbonation data exhibit significant variations. Nevertheless, probabilistic inference suggests that both accelerated and natural carbonation processes follow a square-root-of-time behavior, though accelerated and natural carbonation cannot be converted into each other without corrections. Additionally, a machine learning technique was employed to assess the influence of parameters governing the carbonation progress in concretes.pt_BR
dc.language.isoengpt_BR
dc.publisherSpringerpt_BR
dc.rightsopenAccesspt_BR
dc.subjectNatural carbonationpt_BR
dc.subjectAccelerated carbonationpt_BR
dc.subjectSCMpt_BR
dc.subjectDatabasept_BR
dc.titleReport of RILEM TC 281-CCC: Insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approachespt_BR
dc.typearticlept_BR
dc.description.volume57, 206pt_BR
dc.description.sectorDM/NMCpt_BR
dc.identifier.proc0202/1303/21960pt_BR
dc.description.magazineMaterials and Structurespt_BR
dc.contributor.peer-reviewedSIMpt_BR
dc.contributor.academicresearchersSIMpt_BR
dc.contributor.arquivoNAOpt_BR
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