Preliminary fan-blade design using intermediate response approximations
Preliminary fan-blade design using intermediate response approximations
A midrange approximation method for design optimization is formulated. This utilizes intermediate response
variables, amenable to simple polynomial representation, to provide a reasonable approximation over a trust region.
It has applications to computationally expensive, nonlinear optimization problems where a designer’s knowledge
may be exploited to select appropriate intermediate variables. Application to the preliminary structural design of
a fan blade is illustrated in two case studies; results for a global optimization strategy and a direct search have
been included for comparison. Significant improvement in the number of function calls necessary to identify a
local optimum is demonstrated in the case studies considered.
858-862
Worgan, J.F.
2d07674f-9fb7-420f-87ae-4b5284589d4b
Edmunds, T.M.
b368c30a-3f4b-4ffc-b17a-0eac6d578489
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
2004
Worgan, J.F.
2d07674f-9fb7-420f-87ae-4b5284589d4b
Edmunds, T.M.
b368c30a-3f4b-4ffc-b17a-0eac6d578489
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Worgan, J.F., Edmunds, T.M. and Keane, A.J.
(2004)
Preliminary fan-blade design using intermediate response approximations.
Journal of Propulsion and Power, 20 (5), .
Abstract
A midrange approximation method for design optimization is formulated. This utilizes intermediate response
variables, amenable to simple polynomial representation, to provide a reasonable approximation over a trust region.
It has applications to computationally expensive, nonlinear optimization problems where a designer’s knowledge
may be exploited to select appropriate intermediate variables. Application to the preliminary structural design of
a fan blade is illustrated in two case studies; results for a global optimization strategy and a direct search have
been included for comparison. Significant improvement in the number of function calls necessary to identify a
local optimum is demonstrated in the case studies considered.
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Published date: 2004
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Local EPrints ID: 22965
URI: http://eprints.soton.ac.uk/id/eprint/22965
ISSN: 0748-4658
PURE UUID: f677dd98-372a-4250-8d01-878ae93eb433
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Date deposited: 23 Mar 2006
Last modified: 26 Jul 2022 01:35
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Contributors
Author:
J.F. Worgan
Author:
T.M. Edmunds
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