Efficient multipoint aerodynamic design optimization via cokriging
Efficient multipoint aerodynamic design optimization via cokriging
Multipoint objective functions are often employed within aerodynamic optimizations to prevent a reduction in offdesign performance. However, this typically results in the need for a significant number of simulations at a variety of design conditions to calculate the objective function. The following paper attempts to address this problem through the application of a multilevel cokriging model within the optimization process. A large number of single-point design simulations are augmented by a smaller number of multipoint simulations. The technique is shown to result in surrogate models as effective as those produced using a traditional multipoint process when optimizing a transonic airfoil but with a reduction in the total number of simulations
1685-1695
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
1 September 2011
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Toal, David J.J. and Keane, Andy J.
(2011)
Efficient multipoint aerodynamic design optimization via cokriging.
Journal of Aircraft, 48 (5), .
(doi:10.2514/1.C031342).
Abstract
Multipoint objective functions are often employed within aerodynamic optimizations to prevent a reduction in offdesign performance. However, this typically results in the need for a significant number of simulations at a variety of design conditions to calculate the objective function. The following paper attempts to address this problem through the application of a multilevel cokriging model within the optimization process. A large number of single-point design simulations are augmented by a smaller number of multipoint simulations. The technique is shown to result in surrogate models as effective as those produced using a traditional multipoint process when optimizing a transonic airfoil but with a reduction in the total number of simulations
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Published date: 1 September 2011
Organisations:
Computational Engineering & Design Group
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Local EPrints ID: 204251
URI: http://eprints.soton.ac.uk/id/eprint/204251
ISSN: 0021-8669
PURE UUID: 89b30efd-47cc-4ed7-8774-28a46f4b7162
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Date deposited: 25 Nov 2011 14:14
Last modified: 15 Mar 2024 03:29
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