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Título
Shrinkage prediction of recycled aggregate structural concrete with alternative binders through partial correction coefficients
Autor
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
Versión del editor
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