Performance on Trinity Phase 2 (a Cray XC40 utilizing Intel Xeon Phi processors) with Acceptance Applications and Benchmarks
Abstract not provided.
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Jump to search filtersPerformance on Trinity Phase 2 (a Cray XC40 utilizing Intel Xeon Phi processors) with Acceptance Applications and Benchmarks
Abstract not provided.
Uncertainty quantification in LES of channel flow
International Journal for Numerical Methods in Fluids
In this paper, we present a Bayesian framework for estimating joint densities for large eddy simulation (LES) sub-grid scale model parameters based on canonical forced isotropic turbulence direct numerical simulation (DNS) data. The framework accounts for noise in the independent variables, and we present alternative formulations for accounting for discrepancies between model and data. To generate probability densities for flow characteristics, posterior densities for sub-grid scale model parameters are propagated forward through LES of channel flow and compared with DNS data. Synthesis of the calibration and prediction results demonstrates that model parameters have an explicit filter width dependence and are highly correlated. Discrepancies between DNS and calibrated LES results point to additional model form inadequacies that need to be accounted for. Copyright © 2016 John Wiley & Sons, Ltd.
Exploring model-form uncertainties in Large Eddy Simulation
Abstract not provided.
Wind turbine blade wall-resolved Large Eddy Simulation: Trinity Phase 1 Open Science
Abstract not provided.
Supporting efforts in deploying Large Eddy Simulation for production Abnormal/Thermal Environment analysis
Abstract not provided.
NALU Assembly ? Prototyping the NGP Transition
Abstract not provided.
Performance on Trinity (a Cray XC40) with Acceptance-Applications and Benchmarks
Abstract not provided.
Sierra Thermal Fluids use of Trilinos
Abstract not provided.
Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows
The objective of this work is to investigate the efficacy of using calibration strategies from Uncertainty Quantification (UQ) to determine model coefficients for LES. As the target methods are for engineering LES, uncertainty from numerical aspects of the model must also be quantified. 15 The ultimate goal of this research thread is to generate a cost versus accuracy curve for LES such that the cost could be minimized given an accuracy prescribed by an engineering need. Realization of this goal would enable LES to serve as a predictive simulation tool within the engineering design process.
Implicit Solvers for Higher-Order Discretizations
Abstract not provided.
Thermal Runaway of Lithium-Ion Batteries and Hazards of Abnormal Thermal Environments
Abstract not provided.
Thermal runaway of lithium-ion batteries and hazards of abnormal thermal environments
Abstract not provided.
High Fidelity Approaches for Simulation of Wind Energy Aerodynamics
Abstract not provided.
Model Calibration and Forward Uncertainty Quantification for Large-Eddy Simulation of Turbulent Flows
Abstract not provided.
High Performance Computing Applications in Wind Energy
Abstract not provided.
Sodium-Based Battery Development
Abstract not provided.
Leveraging the ASC Sierra Mechanics Tools for Battery Fire Prediction
Abstract not provided.
Towards extreme-scale simulations for low-Mach fluids with second-generation Trilinos
Parallel Processing Letters
Abstract not provided.
Next generation generalized unstructured low mach algorithms
Abstract not provided.
Towards Extreme-scale Simulations with Next-Generation Trilinos: a low Mach application case study
Abstract not provided.
Enabling extreme-scale simulations with next-generation Trilinos for Sierra low Mach fluid application code
Abstract not provided.
Emerging UQ Capabilities Applied to Wind Turbine Assessment
Abstract not provided.
A reflection of recent ASC milestones in support of the abnormal/thermal enviornemnt
Abstract not provided.
Advances in UQ Algorithms for Wind Energy Applications
Abstract not provided.
Results 51–75 of 98