Analytical model based on artificial neural network for masonry shear walls strengthened with FRM systems

In this scenario, an analytical model based on Artificial Neural Network (ANN) is proposed and discussed in respect of the geometrical and mechanical variables that control the mechanical problem. An ANN is presented in the paper by showing its possible productive application in the civil engineering field. The proposed model seems able to predict the shear strength of FRM strengthened masonry; the approach is considered efficient since it includes both a theoretical method and a large test calibration, illustrated herein. Thanks to a quite small input database of laboratory results, ANN seems able to provide a theoretical solution to the problem with accuracy and precision.