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Title: | Shear Strength Prediction of Palm Kernel Shell RC Deep Beams without Shear Reinforcement |
Authors: | Adinkrah-Appiah, K. Adom-Asamoah, M. Afrifa, R. O. |
Keywords: | Deep beams without shear reinforcement PKSC, Shear strength STM approach Average |
Issue Date: | 19-Jul-2018 |
Abstract: | Reinforced concrete deep beams transfer heavy gravity loads predominantly through shearing
action to their supports mainly through arch-action. Design of deep beams therefore does not
follow the conventional sectional method. The strut and tie model (STM) approach, which was
introduced recently, has proved to be a useful tool for the design of reinforced concrete deep
beams. Palm kernel shell concrete (PKSC), a lightweight concrete produced from palm kernel
shell, an agricultural waste obtained from palm kernel oil processing, is gaining popularity due
to its numerous advantages as a lightweight construction material. Several studies have been
carried out on reinforced PKSC slender beams. However, the suitability of PKSC for the design
of deep beams is yet to be assessed. This paper studied the behavior of PKSC deep beams
without shear reinforcement and assessed the performance of the STM approach on shear
strength prediction. Three deep beam samples without shear reinforcement of 150 mm width
and 350 mm depth, having shear span-to-effective depth ratios of 1.0, 1.5 and 2.0, were
prepared and tested under three-point monotonic loading. Similar beams were tested for NWC
for comparison, and the shear strength was evaluated using the STM provisions proposed by
three standard codes. The results were compared with the experimental values to validate the
design of PKSC deep beams without shear reinforcement using the STM approach. The ACI318
(2008) STM provisions produced the least average margin of safety and covariance and
hence, was confirmed to be the most appropriate design approach for the design of reinforced
PKSC deep beams without shear reinforcement. |
Description: | Proceedings of ESTE 2015 conference |
URI: | http://hdl.handle.net/123456789/11353 |
Appears in Collections: | College of Engineering
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