Uncertainty-based robust aerodynamic optimization of rotor blades

DOI10.1002/nme.4438zbMath1352.74232OpenAlexW1482970324MaRDI QIDQ2952232

Zhiyi Liu, Chris Lacor, Shun Kang, Xiao-dong Wang, Charles Hirsch

Publication date: 30 December 2016

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.4438

zbMATH Keywords

genetic algorithmrobust optimizationPareto frontuncertainty quantificationpolynomial chaoscompressor

Mathematics Subject Classification ID

Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Optimization of other properties in solid mechanics (74P10)

Related Items (4)

An efficient non-intrusive reduced basis model for high dimensional stochastic problems in CFD ⋮ A non-intrusive model reduction approach for polynomial chaos expansion using proper orthogonal decomposition ⋮ Efficient uncertainty quantification of CFD problems by combination of proper orthogonal decomposition and compressed sensing ⋮ Efficient aerodynamic analysis and optimization under uncertainty using multi-fidelity polynomial chaos-Kriging surrogate model

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