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Aerodynamic design optimization via reduced Hessian SQP with solution refiningAn all-at-once reduced Hessian Successive Quadratic Programming (SQP) scheme has been shown to be efficient for solving aerodynamic design optimization problems with a moderate number of design variables. This paper extends this scheme to allow solution refining. In particular, we introduce a reduced Hessian refining technique that is critical for making a smooth transition of the Hessian information from coarse grids to fine grids. Test results on a nozzle design using quasi-one-dimensional Euler equations show that through solution refining the efficiency and the robustness of the all-at-once reduced Hessian SQP scheme are significantly improved.
Document ID
19960029125
Acquisition Source
Ames Research Center
Document Type
Contractor Report (CR)
Authors
Feng, Dan (Research Inst. for Advanced Computer Science Moffett Field,CA United States)
Pulliam, Thomas H. (Research Inst. for Advanced Computer Science Moffett Field,CA United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1995
Subject Category
Aerodynamics
Report/Patent Number
NASA-CR-201067
RIACS-95-24
NAS 1.26:201067
Accession Number
96N29660
Funding Number(s)
CONTRACT_GRANT: NAS2-13721
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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