International Journal of Impact Engineering

A pre-trained artificial neural network is provided for predicting the scaled penetration depth P/L of a rod penetrating into a semi-infinite target, based on the rod length-over-diameter ratio L/D, the impact velocity and the density and hardness of the target and projectile materials. The tensorflow keras sequential network is stored as neural_network.h5 in hierarchical data format (HDF5). The script main.py demonstrates an application of the neural network. Alternatively, the notebook main.ipynb or its static version main.html may be consulted.

Data for the dynamic elastic strain of cylindrical explosion containment vessel and the blast loading generated by the cylindrical charge at the center of the vessel

The deformation of the impacted plates and the ture stress strain relationship of polyurea are presented in the data.

Data from 152 ballistic experiments on CLT panels made from Spruce Pine Fir - South (tab 1) and Southern Yellow Pine (tab 2).