Reduced-Order Model Development for Airfoil Forced Response
Two new reduced-order models are developed to accurately and rapidly predict geometry deviation effects on airfoil forced response. Both models have significant application to improved mistuning analysis. The first developed model integrates a principal component analysis approach to reduce the numb...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2008-01-01
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| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/2008/387828 |
| Summary: | Two new reduced-order models are developed to accurately and rapidly predict geometry
deviation effects on airfoil forced response. Both models have significant application to improved
mistuning analysis. The first developed model integrates a principal component analysis
approach to reduce the number of defining geometric parameters, semianalytic eigensensitivity
analysis, and first-order Taylor series approximation to allow rapid as-measured airfoil
response analysis. A second developed model extends this approach and quantifies both random
and bias errors between the reduced and full models. Adjusting for the bias significantly
improves reduced-order model accuracy. The error model is developed from a regression analysis
of the relationship between airfoil geometry parameters and reduced-order model error,
leading to physics-based error quantification. Both models are demonstrated on an advanced
fan airfoil's frequency, modal force, and forced response. |
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| ISSN: | 1023-621X 1542-3034 |