Multi-fidelity design optimisation of a transonic compressor rotor
Multi-fidelity design optimisation of a transonic compressor rotor
This paper demonstrates the application of Kriging based approximations to the aerodynamic shape optimisation of a transonic compressor rotor where multiple fidelities of analysis are available. An extension to the co-Kriging method is implemented, and attention is paid to the efficient construction of the approximate models. The initial data sample within each level of the model is selected using space-filling designs, and the covariance structure of the co-Kriging models is obtained using a maximum likelihood estimation based on gradient optimisation with adjoint functions. An efficient leave-one-out cross-validation method is used to estimate model accuracy and is used to guide initial model refinement.
Brooks, Christopher James
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Forrester, A.I.J.
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Keane, A.J.
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Shahpar, S.
68625741-8304-4df1-96c6-08ee71dda686
21 March 2011
Brooks, Christopher James
5c504fef-0360-4b2a-b6c4-d88bbd6e5bac
Forrester, A.I.J.
176bf191-3fc2-46b4-80e0-9d9a0cd7a572
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Shahpar, S.
68625741-8304-4df1-96c6-08ee71dda686
Brooks, Christopher James, Forrester, A.I.J., Keane, A.J. and Shahpar, S.
(2011)
Multi-fidelity design optimisation of a transonic compressor rotor.
9th European Conf. Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey.
21 - 25 Mar 2011.
10 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper demonstrates the application of Kriging based approximations to the aerodynamic shape optimisation of a transonic compressor rotor where multiple fidelities of analysis are available. An extension to the co-Kriging method is implemented, and attention is paid to the efficient construction of the approximate models. The initial data sample within each level of the model is selected using space-filling designs, and the covariance structure of the co-Kriging models is obtained using a maximum likelihood estimation based on gradient optimisation with adjoint functions. An efficient leave-one-out cross-validation method is used to estimate model accuracy and is used to guide initial model refinement.
Text
CBrooks_ETC9_confpaper_final_corrected.pdf
- Author's Original
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Published date: 21 March 2011
Venue - Dates:
9th European Conf. Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey, 2011-03-21 - 2011-03-25
Organisations:
Computational Engineering & Design Group
Identifiers
Local EPrints ID: 198559
URI: http://eprints.soton.ac.uk/id/eprint/198559
PURE UUID: 881c93d2-31e8-4a17-b0ff-2cbfb4dc62ac
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Date deposited: 05 Oct 2011 09:03
Last modified: 15 Mar 2024 02:52
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Contributors
Author:
Christopher James Brooks
Author:
S. Shahpar
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