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A novel robust aerodynamic optimization technique coupled with adjoint solvers and polynomial chaos expansion
14 references·1 citing·45 second hop
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References

  • 2007Efficient Sampling for Non-Intrusive Polynomial Chaos Applications with Multiple Uncertain Input Variables347 cited
  • 2009Efficient Uncertainty Quantification Using Gradient-Enhanced Kriging96 cited
  • 2009Robust Aerodynamic Design Optimization Using Polynomial Chaos88 cited
  • 2018Review of Robust Aerodynamic Design Optimization for Air Vehicles51 cited
  • 2006Efficient Shape Optimization Under Uncertainty Using Polynomial Chaos Expansions and Local Sensitivities51 cited
  • 2014Robust and Reliability-Based Design Optimization Framework for Wing Design48 cited
  • 2019Active Polynomial Chaos Expansion for Reliability-Based Design Optimization44 cited
  • 2017Effective robust design of high lift NLF airfoil under multi-parameter uncertainty42 cited
  • 2018Uncertainty Management for Robust Industrial Design in Aeronautics39 cited
  • 2018Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations34 cited
  • 2019Multi-disciplinary design optimization with fuzzy uncertainties and its application in hybrid rocket motor powered launch vehicle32 cited
  • 2019Analysis of a Polynomial Chaos-Kriging Metamodel for Uncertainty Quantification in Aerodynamics26 cited
  • 2015Comparison of Robust Optimization Methods Applied to Hypersonic Vehicle Design19 cited
  • 2020Efficient Bilevel Surrogate Approach for Optimization Under Uncertainty of Shock Control Bumps

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  • 2024Digital twin dynamic-polymorphic uncertainty surrogate model generation using a sparse polynomial chaos expansion with application in aviation hydraulic pump8 cited