Afficher la notice abrégée

dc.contributor.authorRevilla Cuesta, Víctor 
dc.contributor.authorSkaf Revenga, Marta 
dc.contributor.authorEspinosa González, Ana Belén 
dc.contributor.authorSantamaría, Amaia
dc.contributor.authorOrtega López, Vanesa 
dc.date.accessioned2023-11-10T08:35:35Z
dc.date.available2023-11-10T08:35:35Z
dc.date.issued2020-12
dc.identifier.urihttp://hdl.handle.net/10259/7980
dc.description.abstractThe compressive strength of recycled concrete is acknowledged to be largely conditioned by the incorporation ratio of Recycled Concrete Aggregate (RCA), although that ratio needs to be carefully assessed to optimize the design of structural applications. In this study, Self-Compacting Concrete (SCC) mixes containing 100% coarse RCA and variable amounts, between 0% and 100%, of fine RCA were manufactured and their compressive strengths were tested in the laboratory for a statistical analysis of their strength variations, which exhibited robustness and normality according to the common statistical procedures. The results of the confidence intervals, the one-factor ANalysis Of VAriance (ANOVA), and the Kruskal–Wallis test showed that an increase in fine RCA content did not necessarily result in a significant decrease in strength, although the addition of fine RCA delayed the development of the final strength. The statistical models presented in this research can be used to define the optimum incorporation ratio that would produce the highest compressive strength. Furthermore, the multiple regression models offered accurate estimations of compressive strength, considering the interaction between the incorporation ratio of fine RCA and the curing age of concrete that the two-factor ANOVA revealed. Lastly, the probability distribution predictions, obtained through a log-likelihood analysis, fitted the results better than the predictions based on current standards, which clearly underestimated the compressive strength of SCC manufactured with fine RCA and require adjustment to take full advantage of these recycled materials. This analysis could be carried out on any type of waste and concrete, which would allow one to evaluate the same aspects as in this research and ensure that the use of recycled concrete maximizes both sustainability and strength.en
dc.description.sponsorshipThis research was funded by the following entities and grants: Spanish Ministry MCI, AEI, EU, and ERDF, grants FPU17/03374 and RTI2018-097079-B-C31; the Junta de Castilla y León and ERDF, grant BU119P17 awarded to research group UIC-231; Youth Employment Initiative (JCyL) and ESF, grant UBU05B_1274; the University of Burgos, grant Y135 GI awarded to the SUCONS group; the University of the Basque Country, grant PPGA20/26; the Basque Government research group IT1314-19.en
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofMathematics. 2020, V. 8, n. 12, e2190es
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSelf-compacting concrete (SCC)en
dc.subjectRecycled concrete aggregate (RCA)en
dc.subjectRCA content optimizationen
dc.subjectRobustnessen
dc.subjectAnalysis of variance (ANOVA)en
dc.subjectCompressive strength predictionen
dc.subjectCharacteristic compressive strengthen
dc.subjectDistribution fittingen
dc.subject.otherIngeniería civiles
dc.subject.otherCivil engineeringen
dc.subject.otherMateriales de construcciónes
dc.subject.otherBuilding materialsen
dc.titleStatistical Approach for the Design of Structural Self-Compacting Concrete with Fine Recycled Concrete Aggregateen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.3390/math8122190es
dc.identifier.doi10.3390/math8122190
dc.identifier.essn2227-7390
dc.journal.titleMathematicsen
dc.volume.number8es
dc.issue.number12es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


Fichier(s) constituant ce document

Thumbnail

Ce document figure dans la(les) collection(s) suivante(s)

Afficher la notice abrégée