Uncertainty Quantification for Equation of State using Heterogeneous Data Sources

Uncertainty quantification (UQ) for the Equations of State (EOSs) and various other properties of constituent materials (e.g., strength) is crucial to discovering the range of outcomes that are consistent with small-scale data within a multi-physics hydrodynamic simulation. Depending on the quantity and quality of data available, a mix of data sources (i.e., both calculated and experimental data) may be included in the calibration data. The type of data available, as well as the types of uncertainty present in that data, will influence the UQ workflow. This talk will focus on combining calculated data with experimental data for two examples: 1) reactant and product EOSs for a variety of high explosives, and 2) a multiphase Aluminum EOS. The use of statistical distances as a mechanism to compare the results of the UQ is considered.