Reduced-order model construction procedure for robust mistuning identification of blisks

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作者：
University of Michigan, Ann Arbor, MI 48109-2125, United States [1 ]
不详 [2 ]
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来源：
AIAA Journal | 2008年 / 46卷 / 11期
关键词：
The reduced-order modeling of integrally bladed disks for predicting the mistimed vibration response has been well studied and understood. For solving a direct vibration problem; adding modes to the modeling basis improves the accuracy of the reduced-order model with respect to the parent unite element model. In contrast; when solving an inverse problem for system identification; adding modes to the reduced-order model while using the same measurements may actually reduce its accuracy. This is especially true for solving inverse problems related to the identification of blade mistuning parameters; because the characteristics of the selected system modes for the reduced-order model may not match the assumptions used in the mistuning modeling approach. In this work; a procedure is introduced for constructing a reduced-order model referred to as the inverse reduced-order model that is well suited for solving the mistuning identification inverse problem. First; a quantitative metric is denned to characterize and rank the tuned-system modes with respect to their suitability for constructing inverse reducedorder models. Then; the direct problem is solved using a larger direct reduced-order model with prescribed mistuning to interrogate and validate the performance of various inverse reduced-order models as modes are added. This enables the automated construction of suitable inverse reduced-order models and improves the overall accuracy and robustness of mistuning identification;
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Conference article (CA)
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页码：2890 / 2898
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