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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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3D unsteady model of arc heater plasma flow using the ARC Heater Simulator (ARCHeS)
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Entry, Descent and Landing Panel for the Humans to Mars Summit 2020
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Towards High-Fidelity Modeling of Arc-jet Environments and Material Response
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Machine Learning Tools for Predicting Solar Energetic Particle Hazards: Progress and Plans
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Machine Learning Tools for Predicting Solar Energetic Particle Hazards: Machine Learning Part
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High-Fidelity Simulations of HyMETS Arc-Jet Flows for PICA-N Modeling
Arc-jet testing is a fundamental tool in the screening of thermal protection systems under atmospheric entry conditions. In this work, high-fidelity computational fluid dynamics simulations coupled with machine learning methods for the Hypersonic Materials Environmental Test System arc-jet facility have been carried out. This effort improves the MEDLI-2 data reconstruction fidelity by understanding the impact of the NuSil coating over the PICA thermocouple plugs. Thermochemical non-equilibrium models are employed to simulate the flows inside the arc-jet nozzle and chamber and machine learning techniques are used to calibrate the arc-jet inflow conditions. The material response is simulated with the recession and in-depth numerical results compared to experimental measurements.
High-Fidelity Simulations of HyMETS Arc-Jet Flows for PICA-N Modeling
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On the Development Of Preconditioning Methods for High-Order Multiphysics Problems
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Efficient Preconditioning of a High-Order Solver for Multiple Physics
This work addresses preconditioning approaches for an implicit high-order solver frame-work applied to multiple physics. The solver is based on a space-time spectral element method and matrix-free Newton-Krylov solver developed at NASA over the recent years. Within this context, most preconditioning methods are impractical, as the computational time and memory requirements scale poorly with increasing polynomial orders. To improve computational efficiency, we first describe a novel entity-based Block Jacobi preconditioner for the continuous-Galerkin solution of the linear-elasticity and linear-shell equations. Second, we introduce a multigrid algorithm to further reduce time-to-solution on stiff cases arising from continuous-and discontinuous-Galerkin discretizations. Results obtained on relevant single-physics reference solutions, demonstrate the feasibility of the methods, paving the way for high-order solutions of fully coupled multi-physics problems.
Efficient Preconditioning of a High-Order Solver for Multiple Physics
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An Efficient Preconditioner for a Monolithic High-Order Fluid Structure Interaction Solver
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On the Behavior of Entropy-Stable Schemes in the Low Mach Regime
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NASA's Entry, Descent and Landing (EDL) Technology Portfolio
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The Calculation of Diffusion Properties for Open Shell Molecules
- Navier-Stokes requires as input various collision integrals for gases - Diffusion, - Viscosity - Thermal conductivity - Thermal diffusion ... - Levin, Stallcop and Partridge state-of-the-art - Non-Relativistic Born-Oppenheimer Approximation (freeze nuclei first, let them move second) - Solve electron problem: Compute realistic Potential Curves (PC) from first principles, - Solve nuclei problem: Compute scattering properties for each PC using sophisticated semi-classical method - Compute cross sections - Compute appropriate thermal collision integrals