CFD-based shape optimization under uncertainties using the adjoint-assisted polynomial chaos expansion and projected derivatives

DOI10.1016/j.compfluid.2022.105458OpenAlexW4224055824MaRDI QIDQ2158125

Th. Skamagkis, E. M. Papoutsis-Kiachagias, Kyriakos C. Giannakoglou

Publication date: 22 July 2022

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2022.105458

zbMATH Keywords

fluid mechanicsmatrix-vector productsuncertainty quantificationpolynomial chaos expansionrobust design optimizationcontinuous adjoint

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

Uses Software

• OpenFOAM
• pFOSM

Cites Work

• Continuous adjoint methods for turbulent flows, applied to shape and topology optimization: industrial applications
• Continuous adjoint approach to the Spalart-Allmaras turbulence model for incompressible flows
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• Differential equation-based wall distance computation for DES and RANS.
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• Least squares polynomial chaos expansion: a review of sampling strategies
• Computational methods in optimization considering uncertainties - An overview
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• The estimation of functional uncertainty using polynomial chaos and adjoint equations
• Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics
• Numerical Optimization
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