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Uncertainty in Computational Aerodynamics

James M. Luckring · Michael J. Hemsch · Joseph Morrison

39 citations0/0 files storedAIAA Aerospace Sciences Meeting and Exhibit

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Probabilistic and Robust Engineering Design Computational Fluid Dynamics and Aerodynamics Management Systems and Quality Improvement

Abstract

An approach is presented to treat computational aerodynamics as a process, subject to the fundamental quality assurance principles of process control and process improvement. We consider several aspects affecting uncertainty for the computational aerodynamic process and present a set of stages to determine the level of management required to meet risk assumptions desired by the customer of the predictions. CA NOMENCLATURE

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References

1998Verification and Validation in Computational Science and Engineering 1986Understanding Statistical Process Control 1949Aeronautical Quarterly 1963Realistic evaluation of the precision and accuracy of instrument calibration systems 1999Statistical Validation of Engineering and Scientific Models: Background 1993Understanding Statistical Process Control 2003Stochastic Fluid Mechanics via Polynomial Chaos 2000Langley Wind Tunnel data quality assurance - Check standard results

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2012Optimizations Under Uncertainty Using Gradients, Hessians, and Surrogate Models 2005Inexpensive Monte Carlo Uncertainty Analysis 2012Mixed Aleatory/Epistemic Uncertainty Quantification for Hypersonic Flows via Gradient-Based Optimization and Surrogate Models 2011Uncertainty Quantification in Viscous Hypersonic Flows using Gradient Information and Surrogate Modeling 2013Robust design under mixed aleatory/epistemic uncertainties using gradients and surrogates

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