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<field name="value">Revilla Cuesta, Víctor</field>
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<field name="value">Evangelista, Luís</field>
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<field name="value">Brito, Jorge de</field>
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<field name="value">Skaf Revenga, Marta</field>
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<field name="value">Manso Villalaín, Juan Manuel</field>
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<field name="orcid_id">0000-0003-4964-5128</field>
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<field name="value">2023-02-28T12:19:34Z</field>
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<field name="value">2023-02-28T12:19:34Z</field>
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<field name="value">10.1016/j.cemconcomp.2022.104506</field>
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<field name="value">Estimating the shrinkage of structural concrete is essential to calculate, at the design stage, the stresses that a&#xd;
structure may experience due to this phenomenon. Nevertheless, changes in composition, as well as the use of&#xd;
wastes as raw materials, alter the shrinkage behaviour of concrete and render invalid shrinkage-prediction&#xd;
models from the standards. This paper shows a procedure to estimate the shrinkage of recycled aggregate&#xd;
concrete made with alternative binders. This procedure is based on modifying the shrinkage estimated through&#xd;
the Eurocode 2 or ACI 209.2R models by multiplying it by a partial correction coefficient for every change in&#xd;
concrete composition. The application of this procedure to high-performance and self-compacting concretes&#xd;
made with various contents of recycled aggregate of different maturity, reactive magnesium oxide and ground&#xd;
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&#xd;
need to consider the prediction interactions between the factors, the usefulness of the natural logarithm of the&#xd;
concrete age to improve the estimation accuracy or the convenience of introducing a concrete-age-dependent&#xd;
coefficient to reach accurate shrinkage estimations at early ages. Finally, the partial correction coefficients are&#xd;
found to be of a simpler nature for the ACI 209.2R model, so this model is recommended for predicting the&#xd;
shrinkage of recycled aggregate concrete.</field>
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<field name="value">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.</field>
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<field name="value">Cement and Concrete Composites. 2022, V. 129, 104506</field>
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<field name="value">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/</field>
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<field name="value">info:eu-repo/grantAgreement/Junta de Castilla y León//UIC 231/</field>
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<field name="value">Recycled aggregate structural concrete</field>
<field name="value">Reactive magnesium oxide</field>
<field name="value">Ground granulated blast furnace slag</field>
<field name="value">Shrinkage-prediction model</field>
<field name="value">Partial correction coefficient</field>
<field name="value">Prediction interaction</field>
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<field name="value">Materiales de construcción</field>
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<element name="title">
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<field name="value">Shrinkage prediction of recycled aggregate structural concrete with alternative binders through partial correction coefficients</field>
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