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Shear Strength Prediction for Reinforced Concrete Corbels

Shear Strength Prediction for Reinforced Concrete Corbels

Abstract

Corbels are brackets that project from the faces of columns and are used extensively in precast concrete construction to support primary beams and girders. This paper proposes a softened strut-and-tie model for determining the shear strength of corbels. The proposed model originates from the strut-and-tie concept and satisfies equilibrium, compatibility, and the constitutive laws of cracked reinforced concrete. The shear strength predictions of the proposed model and the empirical formulas of American Concrete Institute (ACI) 318 are compared with the collected experimental data of 178 corbels. The comparison shows that the performance of the softened strut-and-tie model is better than the ACI 318 approach for all the parameters under comparison. The parameters reviewed include the concrete strength, the shear span-depth ratio, and the amount of horizontal hoop. It is therefore recommended that the current shear design procedures for corbels be reformed to incorporate the actual shear-resisting mechanisms as postulated by the softened strut-and-tie model.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
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