Measurement Point Selection and Modal Damping Identification for Bladed Disks
Mechanical Systems and Signal Processing
A novel measurement point selection (MPS) technique for bladed disks and integrally bladed disks (blisks) is presented and applied to a new modal damping identification method. When gathering data to be used for applications such as damping identification in blisks, it is important to measure points which provide sufficient and accurate information for the analysis. However, to reduce the experimental time and cost, the measurement points should be chosen optimally so that the minimum number of measurements have to be collected. This paper discusses a modified form of the effective independence distribution vector (EIDV) method presented by Penny et al. and adapted by Holland et al. The key aspect of the proposed method is that it uses only single sector-level calculations instead of the full system. A residual weighting optimizes the MPS technique by ranking individual measurement locations according to their noise sensitivity. The method presented provides results equivalent to the full-system EIDV method, but it decreases the computational cost, increases the robustness of the identification, and minimizes the measurement time. Also, a novel method to identify a damping parameter for each mode in a frequency range of interest is presented. This method utilizes the proposed MPS technique to increase the accuracy of the identification. Measurement locations and modal damping results for a 30 degree of freedom system and a blisk with a more complex geometry are presented. Using the proposed methodologies it is possible to obtain an accurate modal damping identification with a decreased computational and measurement cost.
Damping identification, Mistuning, Bladed disks, Measurement point selection, EIDV, Cyclic symmetry
Holland, Darren E.; Rodgers, J. R.; and Epureanu, Bogdan I., "Measurement Point Selection and Modal Damping Identification for Bladed Disks" (2012). Engineering and Computer Science Faculty Publications. 6.