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<dc:title>Deformational behavior of self-compacting concrete containing recycled aggregate, slag cement and green powders under compression and bending: Description and prediction adjustment</dc:title>
<dc:creator>Revilla Cuesta, Víctor</dc:creator>
<dc:creator>Ortega López, Vanesa</dc:creator>
<dc:creator>Skaf Revenga, Marta</dc:creator>
<dc:creator>Khan, Asadur Rehman</dc:creator>
<dc:creator>Manso Villalaín, Juan Manuel</dc:creator>
<dc:subject>Recycled aggregate self-compacting concrete</dc:subject>
<dc:subject>Ground granulated blast-furnace slag</dc:subject>
<dc:subject>Green aggregate powder</dc:subject>
<dc:subject>Stress-strain/load-deflection curve</dc:subject>
<dc:subject>Deformational-behavior prediction model</dc:subject>
<dc:subject>Ingeniería civil</dc:subject>
<dc:subject>Civil engineering</dc:subject>
<dc:description>The high fine-aggregate content of Self-Compacting Concrete (SCC) means that its deformational&#xd;
behavior differs from that of vibrated concrete. SCC performance is further altered when industrial by-products are used as raw materials in those fractions. In this paper, the aim is to analyze&#xd;
and to model the deformational behavior under compression and bending of SCC containing&#xd;
100% coarse and 0%, 50%, and 100% fine Recycled Aggregate (RA), limestone and RA green&#xd;
aggregate powders sized 0/0.5 mm, and Ground Granulated Blast-furnace Slag (GGBS) cement.&#xd;
After the fresh and mechanical characterization of the 18 SCC mixes that were produced, their&#xd;
compressive stress-strain and bending load-deflection curves were determined by continuously&#xd;
recording the applied load and the strain/deflection values of the SCC test specimens. 100%&#xd;
coarse RA yielded deformability levels in accordance with international standards, while higher&#xd;
fine RA contents increased deformation under compression and reduced it under flexural stress.&#xd;
SCC stiffness increased when GGBS was added, due to the adjustment of the proportion of&#xd;
cementitious matrix, while the use of limestone powder and, especially, RA powder had the&#xd;
opposite effect. Both compressive strain and flexural deflection were underestimated with&#xd;
existing theoretical models. However, the incorporation in the models of both exponential&#xd;
correction coefficients, dependent on the fine RA content, and partial adjustment coefficients,&#xd;
dependent on the types of cement and aggregate powder, produced optimal fits with the experimental stress-strain and load-deflection curves. In view of the deformational behavior, which was&#xd;
successfully modelled with maximum deviations of ±10%, fine RA may be used in combination&#xd;
with GGBS and limestone powder, although it is recommended that fine RA should not exceed&#xd;
proportions of 50%.</dc:description>
<dc:description>The authors wish to express their gratitude for funding this research work to the Spanish Ministry of Universities, MICINN, AEI, EU, and ERDF [PID2020-113837RB-I00; 10.13039/501100011033; FPU17/03374]; the Junta de Castilla y Leon ´ (Regional Government) and ERDF [UIC-231]; and the University of Burgos [SUCONS, Y135. GI].</dc:description>
<dc:date>2023-02-08T10:52:28Z</dc:date>
<dc:date>2023-02-08T10:52:28Z</dc:date>
<dc:date>2022-08</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:identifier>2352-7102</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/7422</dc:identifier>
<dc:identifier>10.1016/j.jobe.2022.104611</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Journal of Building Engineering. 2022, V. 54, 104611</dc:relation>
<dc:relation>https://doi.org/10.1016/j.jobe.2022.104611</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113837RB-I00/ES/ESTUDIO A ESCALA REAL DE HORMIGONES SOSTENIBLES, HIDRAULICOS Y BITUMINOSOS, DE ALTAS PRESTACIONES, FABRICADOS CON RESIDUOS SIDERURGICOS Y DE CONSTRUCCION/</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/MICIU/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU17%2F03374/</dc:relation>
<dc:relation>info:eu-repo/grantAgreement/UBU//Y135.GI/</dc:relation>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:format>application/pdf</dc:format>
<dc:publisher>Elsevier</dc:publisher>
<europeana:object>https://riubu.ubu.es/bitstream/10259/7422/4/Revilla-jbe_2022.pdf.jpg</europeana:object>
<europeana:provider>Hispana</europeana:provider>
<europeana:type>TEXT</europeana:type>
<europeana:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</europeana:rights>
<europeana:dataProvider>RIUBU. Repositorio Institucional de la Universidad de Burgos</europeana:dataProvider>
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