In this research study, the artificial neural networks approach is used to estimate the ultimate shear capacity of
reinforced concrete beams with transverse reinforcement. More specifically, surrogate approaches, such as artificial neural
network models, have been examined for predicting the shear capacity of concrete beams, based on experimental test results
available in the pertinent literature. The comparison of the predicted values with the corresponding experimental ones, as well as
with available formulas from previous research studies or code provisions highlight the ability of artificial neural networks to
evaluate the shear capacity of reinforced concrete beams in a trustworthy and effective manner. Furthermore, for the first time,
the (quantitative) values of weights for the proposed neural network model, are provided, so that the proposed model can be
readily implemented in a spreadsheet and accessible to everyone interested in the procedure of simulation.
