An Artificial Intelligence-based Hybrid Method for Multi-layered Armour Systems

Ballistic response of armour plates using Generative Adversarial Networks

“…1. In a previous publication by the same authors, two MLP networks were used to predict the residual velocity (v r ) of blunt projectiles perforating multilayer metallic armour systems [7]: (i) one was trained on a data set generated by a validated analytical model and (ii) another one trained solely on experimental data. The model was trained to understand the ballistic response of the metallic plates and predict the residual velocity for a given impact velocity, layer thickness and set of material properties.…”