A New Method to Predict Damage to Composite Structures Using Convolutional Neural Networks.

To reduce the cost of developing composite aeronautical structures, manufacturers and university researchers are increasingly using "virtual testing" methods. Then, finite element methods (FEMs) are intensively used to calculate mechanical behavior and to predict the damage to fiber-reinforced polymer (FRP) composites under impact loading, which is a crucial design aspect for aeronautical composite structures. But these FEMs require a lot of knowledge and a significant number of IT resources to run.