Experimental joint identification using system equivalent model mixing in a bladed disk

Zeeshan Saeed, Steven W.B. Klaassen, Christian M. Firrone, Teresa M. Berruti, Daniel J. Rixen

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

A joint between two components can be seen as a means to transmit dynamic information from one side to the other. To identify the joint, a reverse process called decoupling can be applied. This is not as straightforward as the coupling, especially when the substructures have three-dimensional characteristics, or sensor mounting effects are significant, or the interface degrees-of-freedom (DoF) are inaccessible for response measurement and excitation. Acquiring frequency response functions (FRFs) at the interface DoF, therefore, becomes challenging. Consequently, one has to consider hybrid or expansion methods that can expand the observed dynamics on accessible DoF to inaccessible DoF. In this work, we attempt to identify the joint dynamics using the system equivalent model mixing (SEMM) decoupling method with a virtual point description of the interface. Measurements are made only at the internal DoF of the uncoupled substructures and also of the coupled structure assuming that the joint dynamics are observable in the assembled state. Expanding them to the interface DoF and performing coupling and decoupling operations iteratively, the joint is identified. The substructures under consideration are a disk and blade —an academic test geometry that has a total of 18 blades but only one blade-to-disk joint is considered in this investigation. The joint is a typical dove-tail assembly. The method is shown to identify the joint without any direct interface DoF measurement.

Original languageEnglish
Article number051001
JournalJournal of Vibration and Acoustics, Transactions of the ASME
Volume142
Issue number5
DOIs
StatePublished - Oct 2020

Keywords

  • Bladed-disks
  • Decoupling
  • Dynamic expansion
  • Dynamics
  • Joint identification
  • SEMM
  • System identification
  • Virtual point

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