Coarse Graining Turbulence: Modeling and Data-Driven Approaches and their Applications
Explore the source record for details and available documents.
Reisner, Jon [Los Alamos National Laboratory]↗
SEARCH · Search NASA
Results for “turbulence model”
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.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Validation of RANS-Based Turbulence Models Against High-Resolution Experiments and DNS for Buoyancy-Driven Flow with Stratified Fronts
Not provided.
Nuclear Science & Technology↗
Robust experimental data assimilation for the Spalart-Allmaras turbulence model
Not provided.
Physics↗
Involute Working Group – Validation of CFD Turbulence Models for Steady-State Safety Analysis of Corner Geometry
Worldwide, three research reactors have fuel plates curved as a circle-involute (a spiral generated around a circle): Oak Ridge National Laboratory High Flux Isotope Reactor located in Tennessee, U.S.A. [1], Institut Laue-Langevin High Flux Reactor located in Grenoble, France [2], and Technical University of Munich Research Neutron Source Heinz Maier-Leibnitz located in Garching, Germany [3]. All three reactors are currently using highly enriched uranium ( 235 U/U ≥ 20 wt%) as fuel, and all three are actively engaged in activities to convert to low-enriched uranium ( 235 U/U < 20 wt%) fuel.
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗
Assembling training datasets for generalizable machine-learned turbulence models.
Abstract not provided.
Ray, Jaideep↗
Assembling training datasets for generalizable machine-learned turbulence models.
Abstract not provided.
Ray, Jaideep↗
Turbulence modeling for compressible flows using discrepancy tensor-basis neural networks and extrapolation detection .
Abstract not provided.
Parish, Eric↗
Uncertainty Propagation of the Negative Spalart-Allmaras Turbulence Model Coefficients using Projection-based Reduced-Order Models.
Abstract not provided.
Krath, Elizabeth↗
Robust Data-Driven Turbulence Modeling for RANS Closures Using a SciML Approach for Validation
Explore the source record for details and available documents.
Balakrishnan, Uma↗
Independent Evaluation and Verification of Data-Driven RANS Closures in Turbulence Modeling
Explore the source record for details and available documents.
Balakrishnan, Uma [Sandia National Laboratories (S↗
Data-driven modifications to the Spalart-Allmaras turbulence model for High Reynolds number flow
Explore the source record for details and available documents.
Jordan, Cyrus Joshua [Sandia National Laboratories↗
Explainable Machine Learning for Data-Driven Turbulence Modeling in Compressible Fluid Flows Using SHAP Analysis
Explore the source record for details and available documents.
Balakrishnan, Uma [Sandia National Laboratories (S↗
Enhancing Turbulence Modeling for RANS Closures through Explainable Machine Learning Using SHAP Analysis
Explore the source record for details and available documents.
Balakrishnan, Uma [Sandia National Laboratories (S↗
Computational Design of a Supersonic Expansion-Compression Experiment for Turbulence Model Development
Explore the source record for details and available documents.
Miller, Nathan↗