Uncertainty quantification of material parameters in modeling coupled metal and high explosive experiments

Experiments involving metal and high explosives (HE) can prove challenging to model because they involve complex material behaviors  and must accurately predict distinct phenomena for each experimental component. The metals used in these experiments have a complicated strength response involving deformation modes such as dislocation-mediated plasticity, rate and pressure dependent effects, and spall defined by porosity nucleation and growth. The measured experimental response also depends on  the complex physical chemistry of HE detonation, where the material quickly transitions from a solid to a gas phase, leading to a complex state in both material systems. The primary goal of these experiments is to ascertain HE-related model parameters, which can be challenging since the HE behavior is inferred through velocimetry measurements performed on the metal surface. This investigation employs Bayesian inference to infer HE model parameters as well as quantify the associated uncertainty. This framework also allows for the incorporation of metal strength parameter uncertainty from previous metal-only experiments.  We will perform this analysis on a small number of HE materials and experimental configurations.

 

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 (LLNL-ABS-844422)