Predictive modelling of fracture behaviour in silica-filled polymer composite subjected to impact with varying loading rates using artificial neural network

In the present work, the dynamic fracture toughness of silica filled polymer composites subjected to impact loading was studied using three different loading rates corresponding to different pulse shaper conditions. These loading rates were ~107 times higher as compared to the rates usually attained in quasi-static condition for the same material. The further analysis was done using the framework of artificial neural network for neat epoxy and...