Shear strength prediction of concrete beams reinforced with FRP bars using novel hybrid BR-ANN model
Authors: Trong-Ha Nguyen, Duy-Duan Nguyen
Asian Journal of Civil Engineering
: 2023 : 1-19
Publishing year: 8/2023
Shear strength is a very important parameter in designing of reinforced concrete beams or concrete beams reinforced with fiber-reinforced polymer (FRP) bars. So far, numerous studies and design codes have proposed empirical-based formulas for predicting the shear strength of FRP-concrete beams. However, a difference exists between the proposed formulas and experimental results. This study predicts the shear strength of FRP-concrete beams using the novel hybrid BR-ANN model, which integrates artificial neural network (ANN) and Bayesian regularization (BR). For that, a comprehensive database consisting of 303 experimental results is compiled for developing the BR-ANN models. The performance results of BR-ANN are compared with those of 15 existing empirical formulas, which were proposed in typical design codes and well-known published studies. The predicted outputs are evaluated utilizing indicators,
