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Design exploration and optimization under uncertainty

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References

1982Regret in Decision Making under Uncertainty2,990 cited
2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited
2008Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics769 cited
2002Needs and Opportunities for Uncertainty-Based Multidisciplinary Design Methods for Aerospace Vehicles173 cited
2001Approach for Input Uncertainty Propagation and Robust Design in CFD Using Sensitivity Derivatives1118 cited
2005Probabilistic engineering analysis using the NESSUS software108 cited
2015Polynomial Chaos Methods for Hyperbolic Partial Differential Equations81 cited
2016A Bayesian Calibration–Prediction Method for Reducing Model-Form Uncertainties with Application in RANS Simulations66 cited
2016A random matrix approach for quantifying model-form uncertainties in turbulence modeling60 cited
2020MULTI-FIDELITY MODELING OF PROBABILISTIC AERODYNAMIC DATABASES FOR USE IN AEROSPACE ENGINEERING34 cited

Cited by

2022Rapid aerodynamic shape optimization under uncertainty using a stochastic gradient approach12 cited
2022Parametric synthesis optimization models for high speed transport aerodynamic design to comply with flight safety and low environmental impact requirements10 cited

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