Reduced-Order Model Development for Airfoil Forced Response

[摘要] Two new reduced-order models are developed to accurately and rapidly predict geometrydeviation effects on airfoil forced response. Both models have significant application to improvedmistuning analysis. The first developed model integrates a principal component analysisapproach to reduce the number of defining geometric parameters, semianalytic eigensensitivityanalysis, and first-order Taylor series approximation to allow rapid as-measured airfoilresponse analysis. A second developed model extends this approach and quantifies both randomand bias errors between the reduced and full models. Adjusting for the bias significantlyimproves reduced-order model accuracy. The error model is developed from a regression analysisof the relationship between airfoil geometry parameters and reduced-order model error,leading to physics-based error quantification. Both models are demonstrated on an advancedfan airfoil's frequency, modal force, and forced response.

[学科分类] 力学，机械学