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Assessment of concrete compressive strength prediction models
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.
Assessment of concrete compressive strength prediction models
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.
Assessment of concrete compressive strength prediction models
KSCE J Civ Eng
Moutassem, Fayez (author) / Chidiac, Samir E. (author)
KSCE Journal of Civil Engineering ; 20 ; 343-358
2016-01-01
16 pages
Article (Journal)
Electronic Resource
English
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