Predicting the behavior of reinforced concrete columns confined by fiber reinforced polymers using data mining techniques

Abstract Fiber Reinforced Polymer (FRP) usage to wrap reinforced concrete (RC) structures has become a popular technology. Most studies about RC columns wrapped with FRP in literature ignored the internal steel reinforcement. This paper aims develop model for axial compressive strength and strain confined The impact of FRP, Transverse, longitudinal reinforcement is studied. Two non-destructive analysis methods are explored: Artificial Neural Networks (ANNs) Regression Analysis (RA). database used contains experimental results sixty-four under concentric load available literature. show that both models can predict column's stress reasonably low error high accuracy. highest effect on compared other materials. While actively contributes strength, transverse strain.