In this paper an Adaptive Neuro-Fuzzy Inference System (ANFIS) model is developed to predict the shear strength of concrete beams reinforced with fiber reinforced polymer (FRP) bars. A database from tests on concrete beams reinforced with FRP bars obtained from the review of literature is used in this study. The data used in the ANFIS model are arranged in a format of six input parameters: the width and depth of beams, compressive strength of concrete, modulus of elasticity and reinforcement ratio of FRP, the shear span to depth ratio, and one output parameter which is shear strength. The results of this study indicate that the ANFIS provide good prediction values when compared with the experimental results and those results obtained by other methods.
|Keywords:||Concrete, Beams, Fiber Reinforced Polymers, Shear, ANFIS|
Head Department of Civil Engineering, Civil/College of Engineering, North Carolina State University, Raleigh, Thi-Qar, Iraq