UQ-Driven Reactive Burn and EOS Parameterization, along with Particle Force Model Assessment for the Simulation of an Explosive Multiphase Experiment

Recent results indicate that the Maxey-Riley-Gatignol (MRG) model is able to predict the force on a particle due to a passing air-shock and compressed flow. This work aims to assess the model’s predictive capability in the high-energy, post-detonation flow regime. Due to the tight coupling between the gas flow and particle motion, the evaluation of the particle force model necessitates high accuracy in the prediction of the gas flow. Therefore, modeling the detonation and rapid expansion of post-detonation product gases requires accurate models of reactive burn and the equation of state (EOS) for products of detonation. Using flow information extracted from experimental high-speed photographs as validation data, we make use of UQ methodologies to optimize the explosive-specific model parameters of the JWL EOS. With quantitative flow agreement between experiments and our finite-volume point-particle simulations, the MRG force model governing the motion of the particles is examined. Experimental X-ray data provides the trajectories of a few Tungsten particles for comparison with simulation results.