| Title |
Prediction of Shear Strength of Slender Reinforced Concrete Beams with and without Shear Reinforcement Using ANFIS |
| Authors |
Sim, Woo-Chang ; ChoiKyoung-Kyu |
| Keywords |
Concrete ; Slender beams ; Shear strength ; Fuzzy theory ; Adaptive Network Based Fuzzy Inference System(ANFIS) ; Uncertainty |
| Abstract |
An analytical method based on fuzzy theory was developed for accurate evaluation of the shear strength of slender reinforced concrete beams with and without shear reinforcement. 636 experimental datasets of shear tests of simply supported reinforced concrete beams, which cover a wide range of design parameters, were used for training and validation of the proposed fuzzy-based model. The strength prediction by the proposed model was compared to those by current design codes including the American code (ACI 318-11) and the Euro code (EC2). The results showed that proposed model based on the fuzzy set theory can properly address the complicated interaction between various modeling parameters, and the fuzzy-based model enhances the prediction of the shear strength. |