Parametric analysis on explosion resistance of composite with finite element and artificial neural network

Abstract

To analyze the factors influencing the explosion resistance of composite laminates subjected to explosive blasts in air, a finite element analysis (FEA) model was utilized. The out-of-plane displacement of composite laminates under far-field airborne explosions could be accurately simulated based on the model. Additionally, an artificial neural network (ANN) model was established to train the data obtained from the FEA model, which allowed for accurate predictions of maximum deflection and its arrival time of laminates with varying parameters, such as impulse of blast, side length, thickness, and mechanical properties of laminates. The results highlighted that the thickness and side length of the composite laminates were critical factors affecting the deformation of laminates under explosive blasts. This research provided a valuable insight aimed at optimizing the design of composite structures to enhance their explosion resistance.