2026-09-15T04:37:19Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/61762024-05-10T09:48:23Zcom_10259_6171com_10259_5086com_10259_2604col_10259_6172

Revilla Cuesta, Víctor Faleschini, Flora Zanini, Mariano A. Skaf Revenga, Marta Ortega López, Vanesa 2021-11-18T12:50:40Z 2021-11-18T12:50:40Z 2021-12 2352-7102 http://hdl.handle.net/10259/6176 10.1016/j.jobe.2021.103425 Predicting the mechanical properties of Self-Compacting Concrete (SCC) containing Recycled Concrete Aggregate (RCA) generally depends, in great part, on the RCA fraction in use. In this study, predictive equations for estimating SCC mechanical properties are developed through SCC porosity indices, so they are applicable to any RCA fraction and amount that may be used. A total of ten SCC mixes were prepared, nine of which containing different proportions of coarse and/or fine RCA (0%, 50% or 100% for both fractions), and the tenth mixed with 100% coarse and fine RCA, and RCA powder 0–1 mm. The following properties were evaluated: compressive strength, modulus of elasticity, splitting tensile strength, flexural strength, and effective porosity as measured with the capillary-water-absorption test. Negative effects on the above properties were recorded for increasing contents of both RCA fractions. The application of simple regression models yielded porosity-based estimations of the mechanical properties of the SCC with an accuracy margin of ±20%, regardless of the RCA fraction and amount. The results of the multiple regression models with compressive strength as a secondary predictive variable presented even greater robustness with accuracy margins of ±10% and almost no significant effect of accidental porosity variations on prediction accuracy. Furthermore, porosity predictions using the 24-h effective water also yielded accurate estimations of all the above mechanical properties. Finally, comparisons with the results of other studies validated the reliability of the models and their accuracy, especially the minimum expected values at a 95% confidence level, at all times lower than the experimental results. Spanish Ministry of Universities within the framework of the State Program for the Promotion of Talent and its Employability in R + D + i, State Mobility Subprogram, of the State Plan for Scientific and Technical Research and Innovation 2017–2020 [PRX21/00007]; the Spanish Ministry MCI, AEI, EU and ERDF [grant numbers PID2020-113837RB-I00; 10.13039/501100011033; FPU17/03374]; the Junta de Castilla y León (Regional Government) and ERDF [grant numbers UIC-231; BU119P17]; Youth Employment Initiative (JCyL) and ESF [grant number UBU05B_1274]; and finally, the University of Burgos [grant numbers SUCONS, Y135.GI] and the University of Padova. eng Elsevier Journal of Building Engineering. 2021, V. 44, 103425 https://doi.org/10.1016/j.jobe.2021.103425 info:eu-repo/grantAgreement/MIU//PRX21%2F00007 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 info:eu-repo/grantAgreement/MICIU/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU17%2F03374 info:eu-repo/grantAgreement/Junta de Castilla y León//BU119P17//Innovación Competitiva en la Utilización de Escorias Siderúrgicas para la elaboración de Hormigones de Altas Prestaciones. Aplicaciones en la Industrialización info:eu-repo/grantAgreement/Junta de Castilla y León//UBU05B_1274 info:eu-repo/grantAgreement/UBU//Y135.GI Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Recycled concrete aggregate Self-compacting concrete Mechanical behavior Effective capillary porosity Non-linear multiple regression Ingeniería civil Construcción Civil engineering Building Porosity-based models for estimating the mechanical properties of self-compacting concrete with coarse and fine recycled concrete aggregate info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion