Predicting results of geometrical nonlinear FE analyses using Artificial Neural Networks: Applied to stiffened steel plated structures in sea lock gates

In this research project, an attempt is made to fuse the fields of structural mechanics and machine learning. The goal is to find out if models can be created that are capable of predicting the outcomes of (nonlinear) finite element analyses. These models are created by means of Artificial Neural Networks, which is a powerful method in the...