The focus of the present two-part investigation is on the estimation of the dynamic properties, i.e., masses, stiffnesses, natural frequencies, mode shapes and their statistical distributions, of turbomachine blades to be used in the accurate prediction of the forced response of mistuned bladed disks. As input to this process, it is assumed that the lowest natural frequencies of the blades alone have been experimentally measured, for example, in a broach block test. Since the number of measurements is always less than the number of unknowns, this problem is indeterminate in nature. In this first part of the investigation, two distinct approaches will be investigated to resolve the shortfall of data. The first one relies on the imposition of as many constraints as needed to ensure a unique solution to this identification problem. Specifically, the mode shapes and modal masses of the blades are set to their design/tuned counterparts while the modal stiffnesses are varied from blade to blade to match the measured natural frequencies. The second approach, based on the maximum likelihood principle, yields estimates of all the structural parameters of the blades through the minimization of a specified “cost function.” The accuracy of these two techniques in predicting the forced response of mistuned bladed disks will be assessed on simple dynamic models of the blades.
Identification of Mistuning Characteristics of Bladed Disks From Free Response Data—Part I
Contributed by the Structures & Dynamics Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received by the S&D Division, May 4, 1999; final revision received by the ASME Headquarters June 9, 1999. Editor: H. D. Nelson.
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Mignolet , M. P., Rivas-Guerra, A. J., and Delor, J. P. (June 9, 1999). "Identification of Mistuning Characteristics of Bladed Disks From Free Response Data—Part I ." ASME. J. Eng. Gas Turbines Power. April 2001; 123(2): 395–403. https://doi.org/10.1115/1.1338949
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