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Results for “flow simulation”
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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Flow simulations of size disperse granular particles with realistic contact models.
Abstract not provided.
Flow Simulations of Size Disperse Granular Particles with Realistic Contact Models.
Abstract not provided.
Power flow simulations of the Saturn accelerator using 1D multi-mode transmission line models.
Abstract not provided.
Advanced Surface Physics Model for Power Flow simulations of the Z Accelerator
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Mitigating chemical stiffness in turbulent reacting flow simulations via an adaptive reduced-order model with time-dependent bases
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Simulating Flow Changes Due to Marine Hydrokinetic Energy Devices: SNL-EFDC Model Validation.
Abstract Not Provided
Simulating Flow Changes Due to Marine Hydrokinetic Energy Devices: SNL-EFDC Model Validation.
Abstract not provided.
A Sub-grid Model for an Array of Immersed Cylinders in Coarse-grid Multiphase Flow Simulations of a Carbon Capture Device
A post-combustion carbon-capture system utilizing a bubbling fluidized bed of sorbent particles is currently being developed as a part of the Carbon Capture and Simulation Initiative (CCSI) efforts. Adsorption of carbon dioxide (CO2) by these amine based sorbent particles is exothermic and arrays of immersed cylindrical heat transfer tubes are often utilized to maintain the lower temperatures favorable for CO2 capture. In multiphase computational fluid dynamics (CFD) simulations of the full-scale devices, which can be up to 10 m in size, approximately 103 cells are required in each dimension to accurately resolve the cylindrical tubes, which are only a few centimeters in diameter. Since the tubes cannot be resolved explicitly in CFD simulations, alternate methods to account for the influence of these immersed objects need to be developed.
THM: turbulent flow simulations with hydra-TH on GTRF problems
Abstract Not Provided
Using Visualization and Data Analysis to Understand Critical Structures in Massive Time Varying Turbulent Flow Simulations
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Propagating Discretization Error Estimates in Compressible Turbulent Flow Simulations.
Abstract not provided.
Using Machine Learning for Error Detection in Turbulent Flow Simulations.
Abstract not provided.
Turbulence Modeling Studies for Application to Buoyancy-Driven Air Flow Simulations of the NSTF
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Machine Learning for Uncertainty Quantification in Turbulent Flow Simulations.
Abstract not provided.