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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/7468

    Título
    Shrinkage prediction of recycled aggregate structural concrete with alternative binders through partial correction coefficients
    Autor
    Revilla Cuesta, VíctorAutoridad UBU Orcid
    Evangelista, Luís
    Brito, Jorge de
    Skaf Revenga, MartaAutoridad UBU Orcid
    Manso Villalaín, Juan ManuelAutoridad UBU Orcid
    Publicado en
    Cement and Concrete Composites. 2022, V. 129, 104506
    Editorial
    Elsevier
    Fecha de publicación
    2022-05
    ISSN
    0958-9465
    DOI
    10.1016/j.cemconcomp.2022.104506
    Resumen
    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.
    Palabras clave
    Recycled aggregate structural concrete
    Reactive magnesium oxide
    Ground granulated blast furnace slag
    Shrinkage-prediction model
    Partial correction coefficient
    Prediction interaction
    Materia
    Materiales de construcción
    Building materials
    Ingeniería civil
    Civil engineering
    URI
    http://hdl.handle.net/10259/7468
    Versión del editor
    https://doi.org/10.1016/j.cemconcomp.2022.104506
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    Attribution-NonCommercial-NoDerivatives 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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    Revilla-ccc_2022.pdf
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