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Assessment of concrete compressive strength prediction models

  • Structural Engineering
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KSCE Journal of Civil Engineering Aims and scope

Abstract

Theoretical and phenomenological models for predicting the compressive strength of concrete proposed in literature have been reviewed. The applicability and accuracy of these models in predicting the compressive strength of concrete at 28 days and at different ages were investigated using experimental data reported in the literature. Assessment of the models using visual display and numerical methods have revealed that the Average Paste Thickness (APT) compressive strength model, which accounts for the type of cement, cement degree of hydration, mixture proportions, aggregate proportions, gradations, packing density, and air content, provides the highest predictability at 28 days and at different ages. The assessment revealed that the majority of models give acceptable predictions because strength is mostly affected by water-to-cement ratio (w/c) in comparison to aggregates’ properties and gradation.

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Correspondence to Fayez Moutassem.

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Moutassem, F., Chidiac, S.E. Assessment of concrete compressive strength prediction models. KSCE J Civ Eng 20, 343–358 (2016). https://doi.org/10.1007/s12205-015-0722-4

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  • DOI: https://doi.org/10.1007/s12205-015-0722-4

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