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Cyclic Lateral Loading of Nonductile Slab-Column Connections

Cyclic Lateral Loading of Nonductile Slab-Column Connections

Abstract

Flat slabs with discontinuous bottom reinforcement are susceptible to progressive collapse if punching shear failure occurs at a slab-column connection. Many such failures have occurred in past earthquakes, resulting in significant loss of life. The evaluation of older flat-slab buildings must include a realistic prediction of the response of the slab-column connections. Considerable research has been performed on connections with continuous slab reinforcement; however, there is a lack of data on the performance of slab-column connections with discontinuous reinforcement. The research presented in this paper involved the cyclic lateral loading of six slab-column connections with discontinuous slab reinforcement typical of flat-slab buildings built prior to 1970. Punching shear failure does not appear to occur earlier than in equivalent specimens with continuous reinforcement; however, the consequences are significantly more severe. Based on this and prior research studies, a model is proposed for estimating the lateral drift at which punching failure may occur.

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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!
11
Top 10%
Top 10%
Average
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