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As part of the DARPA EQUiPS (Enabling Quantification of Uncertainty in Physical Systems) program, the SEQUOIA project provides an integrated plan for performing uncertainty quantification (UQ) and design under uncertainty (DUU) that aggressively pursues new frontiers in scale and complexity. In particular, the coordinated investments in this e↵ort will create advancements in scalable forward and inverse UQ algorithms and the rigorous quantification of model inadequacy, providing the primary foundation for the development of generalized stochastic design approaches that address the robustness and reliability of complex multi-disciplinary systems. This project will demonstrate new UQ methods on high-performance aircraft nozzle analysis and design problems that are simultaneously designed for aerodynamic performance, thermal and pressure loads, and fatigue, while subject to geometric constraints to be fully integrated with complex vehicle shapes. The ability to handle all kinds of uncertainty at very large scale will enable the design of future components and vehicles that can have a substantial impact on DARPAs mission. This paper describes the e↵orts of our team thus far, and the accomplishments we have completed in the pursuit of the overall goals of the project.

Scalable Environment for Quantification of Uncertainty and Optimization in Industrial Applications (SEQUOIA)