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Sensitivity of an Integrated Experiment to Uncertainty in the High Explosive Equations of State

ORAL · Invited

Abstract

Traditionally, hydrodynamics simulations are performed with a single equation-of-state (EOS) to describe each material. These EOSs typically have a physics-informed functional form with adjustable parameters that are calibrated in order to replicate small-scale data. However, because the calibration data has uncertainty and there are typically inherent degeneracies in fitting the EOS, there are actually multiple EOSs that might be consistent with calibration data. In this work, we perform Uncertainty Quantification (UQ) for the reactant and product equations of state for the high explosive PBX 9501 to yield an ensemble of EOSs that match the uncertain small-scale calibration data. We then simulate an integrated experimental set-up repeatedly with different EOSs to both validate the UQ analysis and determine the effects of EOS uncertainty on the prediction of quantities of interest in the integrated experiment. In general, we find good agreement between the simulation predictions and the experimental measurements, and we identify an EOS variable that contributes most directly to the spread in the predictions as the EOSs are varied.

Publication: Beth A. Lindquist, Ryan B. Jadrich, Rachel A. Morneau, Danielle M. McDermott, Adam C. Coleman, Gopinath Subramanian, and Christopher Ticknor. Sensitivity of an Integrated Experiment to Uncertainty in the High Explosive Equations of State, submitted.

Presenters

  • Beth A Lindquist

    Los Alamos National Laboratory (LANL)

Authors

  • Beth A Lindquist

    Los Alamos National Laboratory (LANL)

  • Ryan B Jadrich

    Los Alamos National Laboratory

  • Rachel Morneau

    Los Alamos National Laboratory

  • Danielle M McDermott

    Los Alamos National Laboratory (LANL)

  • Adam C Coleman

    Los Alamos National Laboratory (LANL)

  • Gopinath Subramanian

    Los Alamos National Laboratory (LANL)

  • Christopher C Ticknor

    Los Alamos National Laboratory (LANL)