Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics
Abstract not provided.
Publications
Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics
Abstract not provided.
Estimation of inflow uncertainties in laminar hypersonic double-cone experiments
Abstract not provided.
Estimation of inflow uncertainties in laminar hypersonic double-cone experiments
Abstract not provided.
Rapid high-fidelity aerothermal responses with quantified uncertainties via reduced-order modeling
This project will enable high-fidelity aerothermal simulations of hypersonic vehicles to be employed (1) to generate large databases with quantified uncertainties and (2) for rapid interactive simulation. The databases will increase the volume/quality of A4H data; rapid interactive simulation can enable arbitrary conditions/designs to be simulated on demand. We will achieve this by applying reduced-order-modeling techniques to aerothermal simulations.
Machine-Learning Error Models for Approximate Solutions to Parameterized Systems of Nonlinear Equations
Abstract not provided.
Machine-learning error models for quantifying the epistemic uncertainty in low-fidelity models
Abstract not provided.
Verification for Hypersonic Reacting Turbulent Flow
Abstract not provided.
Nonlinear reduced-order modeling: Using machine learning to enable extreme-scale simulation for many-query problems
Abstract not provided.
Machine-Learning Error Models for Approximate Solutions to Parameterized Systems of Nonlinear Equations
Abstract not provided.
Verification for Hypersonic Reacting Turbulent Flow
Abstract not provided.
Advanced Technology and Mitigation (ATDM) SPARC Re-Entry Code Fiscal Year 2017 Progress and Accomplishments for ECP
The SPARC (Sandia Parallel Aerodynamics and Reentry Code) will provide nuclear weapon qualification evidence for the random vibration and thermal environments created by re-entry of a warhead into the earth’s atmosphere. SPARC incorporates the innovative approaches of ATDM projects on several fronts including: effective harnessing of heterogeneous compute nodes using Kokkos, exascale-ready parallel scalability through asynchronous multi-tasking, uncertainty quantification through Sacado integration, implementation of state-of-the-art reentry physics and multiscale models, use of advanced verification and validation methods, and enabling of improved workflows for users. SPARC is being developed primarily for the Department of Energy nuclear weapon program, with additional development and use of the code is being supported by the Department of Defense for conventional weapons programs.
Constrained reduced-order models based on proper orthogonal decomposition
Computer Methods in Applied Mechanics and Engineering
A novel approach is presented to constrain reduced-order models (ROM) based on proper orthogonal decomposition (POD). The Karush–Kuhn–Tucker (KKT) conditions were applied to the traditional reduced-order model to constrain the solution to user-defined bounds. The constrained reduced-order model (C-ROM) was applied and validated against the analytical solution to the first-order wave equation. C-ROM was also applied to the analysis of fluidized beds. It was shown that the ROM and C-ROM produced accurate results and that C-ROM was less sensitive to error propagation through time than the ROM.
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