New Predictive Models for Prediction of Bond Strength Between FRP Reinforcements Externally Glued on Masonry Units

Interest in FRP composite bars as reinforcement to concrete has increased over the years as it has shown solutions to the drawbacks of steel such as its corrosion issues and vulnerability when employed in adverse environmental conditions. However, it is still not widely incorporated as a replacement to conventional steel primarily due to the complexity of its bond strength mechanism. This, therefore, imposes the need to establish a comprehensive relationship for the bond property of the FRP reinforced concrete. This chapter presents a novel Artificial Neural Network (ANN) bond strength prediction model for FRP reinforced concrete using 184 hinged beam database from various existing experiments.