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We present an overview of optimization under uncertainty efforts under the DARPA Enabling Quantification of Uncertainty in Physical Systems (EQUiPS) ScramjetUQ project. We introduce the mathematical frameworks and computational tools employed for performing this task. In particular, we provide details in the optimization and multilevel uncertainty quantification algorithms, which are available through the SNOWPAC and DAKOTA software packages. The overall workflow is first demonstrated on a simplified model design problem with non-reacting inviscid supersonic flows. Preliminary results and updates are then reported for an in-progress, highly computationally intensive scramjet design optimization case using large-eddy simulations of supersonic reactive flows inside the HIFiRE Direct Connect Rig.

Progress in Scramjet Design Optimization Under Uncertainty Using Simulations of the HIFiRE Direct Connect Rig