Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations
Liu, Dishi / D. S. and Görtz, Stefan / S. (2012) Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations. 18. DGLR-Fach-Symposium der STAB , November 6 - 7, 2012, Stuttgart, Germany.
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The effort of quantifying the aerodynamic uncertainties caused by uncertainties in the airfoil geometry is hindered by the large number of the variables and the high computational cost of the CFD model. To identify efficient methods addressing this challenge, four promising methods, gradient-enhanced Kriging (GEK), gradient-assisted polynomial chaos (GAPC), maximum entropy method and quasi-Monte Carlo quadrature are applied to a test case where the geometry of an RAE2822 airfoil is perturbed by a Gaussian random field parameterized by nine independent variables. The four methods are compared in their efficiency of estimating some statistics and probability distribution of the uncertain lift and drag coefficients. The results show that the two surrogate method, GEK and GAPC, both utilizing gradient information obtained by an adjoint CFD solver, are more efficient in this situation. Their advantage is expected to increase as the number of variables increases.
|Document Type:||Conference or Workshop Item (Speech, Paper)|
|Title:||Efficient Quantification of Aerodynamic Uncertainty due to Random Geometry Perturbations|
|In ISI Web of Science:||No|
|Page Range:||pp. 50-51|
|Keywords:||uncertainty quantification, surrogate modeling, gradient-enhanced Kriging, polynomial chaos, maximum entropy, aerodynamics, CFD|
|Event Title:||18. DGLR-Fach-Symposium der STAB|
|Event Location:||Stuttgart, Germany|
|Event Type:||national Conference|
|Event Dates:||November 6 - 7, 2012|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||L AR - Aircraft Research|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L AR - Aircraft Research|
|DLR - Research theme (Project):||L - Simulation & Validation|
|Institutes and Institutions:||Institute of Aerodynamics and Flow Technology > C²A²S²E - Center for Computer Applications in AeroSpace Science and Engineering|
|Deposited By:||Dishi Liu|
|Deposited On:||15 Nov 2012 11:19|
|Last Modified:||09 Jan 2013 16:30|
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