This paper outlines the application of the analytical model developed by Jahanzaib and Sheikh (2024) to predict the shear capacity of reinforced concrete beams with FRP reinforcement. The original study demonstrated that the model achieved an average predicted-to-experimental strength ratio of 0.96, with a 13% coefficient of variation (COV) for beams without transverse reinforcement, and a ratio of 1.00 with a 16% COV for beams with GFRP stirrups. This paper discusses the significance of various parameters incorporated into the model and provides simplified design charts for practical applications. To enhance understanding, two detailed examples are presented: the first focuses on predicting the shear capacity of an FRP-reinforced concrete beam, and the second addresses a design scenario. It is suggested at the end to include the non-linear expression for normalized shear strength factor, β, in FRP code equations instead of the existing linear expression.

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Predicting Shear Capacity of FRP Reinforced Concrete Beams

  • Jahanzaib,
  • Pu Zhang,
  • Shamim A. Sheikh

摘要

This paper outlines the application of the analytical model developed by Jahanzaib and Sheikh (2024) to predict the shear capacity of reinforced concrete beams with FRP reinforcement. The original study demonstrated that the model achieved an average predicted-to-experimental strength ratio of 0.96, with a 13% coefficient of variation (COV) for beams without transverse reinforcement, and a ratio of 1.00 with a 16% COV for beams with GFRP stirrups. This paper discusses the significance of various parameters incorporated into the model and provides simplified design charts for practical applications. To enhance understanding, two detailed examples are presented: the first focuses on predicting the shear capacity of an FRP-reinforced concrete beam, and the second addresses a design scenario. It is suggested at the end to include the non-linear expression for normalized shear strength factor, β, in FRP code equations instead of the existing linear expression.