Analysis of Double-Layer Barrel Vaults Using Different Neural Networks

The purpose of applying ANN in civil engineering is their efficiency in some problems that do not have a specific solution or their solution is very time-consuming. In this study, four different neural networks including FFBP, RBF, ERBF, and GRNN have been trained to analyze large scale space structures specifically double-layer barrel vaults focusing on their maximum element stresses. An example has been studied and the corresponding results have been compared with their exact amounts obtained by numerical solution.