A New Deep Learning Accelerated Blast Loading Effect Analysis

Sudden rapid release of energy in blast loading results in complex material behaviour in the surrounding. Even with modern sophisticated computational tools, there are still issues with accurate and efficient prediction of the results. In this work, we propose a machine learning assisted blast loading analysis model that can predict the maximum displacement of the reinforced concrete (RC) slab subjected to blast loading from the standard input parameters including the features of the blast loading and reinforced concrete slab. The dataset is collected from the literature which includes several experimental as well as numerical data. A deep learning model is trained with these data and its performance is tested for prediction of the maximum displacement. The model is seen to perform satisfactorily within acceptable engineering errors. Another advantage is that after training the prediction is extremely fast and can save a lot of time. Also, if the training sample includes variations of cases across several possible scenarios the machine learning can be quite robust.