Shear strength prediction of steel fiber reinforced concrete beams without transverse reinforcements

The objective of this study is to predict the shear strength (SS) of SFRC beams using the artificial neural network (ANN) and nonlinear regression analysis (NRA) based on a comprehensive database consisting of the test results of 398 SFRC beams from past experimental investigations that experienced shear failure. The ANN model is related to the effect of the concrete strength, the longitudinal reinforcement ratio, the shear span–depth ratio, the fiber factor, and the size effect. The developed ANN model correlated well with the available test results and was employed to conduct a parametric study to examine the influence of the main parameters on the SS. In addition, a simple design model is derived based on NRA that consistently predicts the SS. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.