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oai:riubu.ubu.es:10259/74682023-04-17T08:25:12Zcom_10259_6171com_10259_5086com_10259_2604col_10259_6172

Revilla Cuesta, Víctor Evangelista, Luís Brito, Jorge de Skaf Revenga, Marta Manso Villalaín, Juan Manuel 2023-02-28T12:19:34Z 2023-02-28T12:19:34Z 2022-05 0958-9465 http://hdl.handle.net/10259/7468 10.1016/j.cemconcomp.2022.104506 Estimating the shrinkage of structural concrete is essential to calculate, at the design stage, the stresses that a structure may experience due to this phenomenon. Nevertheless, changes in composition, as well as the use of wastes as raw materials, alter the shrinkage behaviour of concrete and render invalid shrinkage-prediction models from the standards. This paper shows a procedure to estimate the shrinkage of recycled aggregate concrete made with alternative binders. This procedure is based on modifying the shrinkage estimated through the Eurocode 2 or ACI 209.2R models by multiplying it by a partial correction coefficient for every change in concrete composition. The application of this procedure to high-performance and self-compacting concretes made with various contents of recycled aggregate of different maturity, reactive magnesium oxide and ground granulated blast furnace slag showed that it is suitable for estimating long-term shrinkage with maximum deviations of ±10%. However, to obtain an adequate accuracy, it is necessary to bear in mind some tips, such as the need to consider the prediction interactions between the factors, the usefulness of the natural logarithm of the concrete age to improve the estimation accuracy or the convenience of introducing a concrete-age-dependent coefficient to reach accurate shrinkage estimations at early ages. Finally, the partial correction coefficients are found to be of a simpler nature for the ACI 209.2R model, so this model is recommended for predicting the shrinkage of recycled aggregate concrete. This work was supported by the Spanish Ministry of Universities, MICINN, AEI, EU and ERDF [grant numbers PID2020-113837RB-I00; 10.13039/501100011033; FPU17/03374; EST19/00263]. Moreover, the authors acknowledge the support of the Junta de Castilla y León [grant number UIC231]; the University of Burgos [grant number Y135. GI]; and the Foundation for Science and Technology, CERIS Research Centre and Instituto Superior Técnico. application/pdf eng Elsevier Cement and Concrete Composites. 2022, V. 129, 104506 https://doi.org/10.1016/j.cemconcomp.2022.104506 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/ES/ info:eu-repo/grantAgreement/MIU//EST19%2F00263/ES/ info:eu-repo/grantAgreement/Junta de Castilla y León//UIC 231/ info:eu-repo/grantAgreement/UBU//Y135.GI/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Recycled aggregate structural concrete Reactive magnesium oxide Ground granulated blast furnace slag Shrinkage-prediction model Partial correction coefficient Prediction interaction Materiales de construcción Ingeniería civil Building materials Civil engineering Shrinkage prediction of recycled aggregate structural concrete with alternative binders through partial correction coefficients info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cement and Concrete Composites 129