Modeling Multi-dimensional Shock-to-Detonation Transition of Pressed HMX Using a Meso-informed Ignition and Growth Model

In previous works we have demonstrated that traditional semi-empirical ignition and growth (I&G) model that relies on parameters fit to empirical data can be transformed to a meso-aware energy deposition model (MES-IG) trained using ensembles of reactive void collapse simulations to predict the shock-to-detonation transition at the macro-scale. While quasi-1D studies have been successfully validated against the experimental results, here we extend the framework to a multi-dimensional setting. In this work, we perform shock-to-detonation transition (SDT) simulations of pressed HMXs to predict corner turning behavior. As the detonation wave moves around a sharp corner, the wave dynamics and accompanying pressure field can lead to a failure in sustaining the detonation. While the existing reactive burn models like I&G, WSD and CREST have been fine-tuned to the corner turning performance of TATB-based and HMX-based materials, they apply to specific formulations. Changes in the formulation of the energetic material will need experiments to fine-tune the model parameters. If meso-informed models can successfully predict the corner turning behavior such models can be used in multidimensional calculations of energetic material performance using meso-scale direct numerical simulations as training data, mitigating the cost of physical experiments. In this study, we compare the performance of MES-IG framework, with respect to traditional I&G model in modelling the corner turning behavior of pressed HMX materials demonstrating predictions of dead zones and re-detonation behavior.