Model updating based on nonlinear normal modes identified under broadband excitation

M. Song, Ludovic Renson, J.P. Noel, B. Moaveni, Gaetan Kerschen

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Abstract

The present paper investigates the updating of numerical models based on nonlinear normal modes (NNMs) extracted using phase separation. The proposed model updating procedure comprises three steps. First, a broadband excitation signal is applied to the structure of interest and input-output data are collected. Second, NNMs are identified by integrating a nonlinear subspace identification method and numerical continuation in a phase separation approach. Third, model parameters are updated by minimizing the difference between numerically-predicted and experimentally-estimated NNMs calculated at multiple energy levels. A numerical cantilever beam with geometrical nonlinearity is exploited herein for demonstration purposes. Synthetic vibration data are generated under a white-noise excitation. The performance of the model updating procedure is verified versus NNM identification issues, like noise perturbations.
Original languageEnglish
Publication statusUnpublished - 25 Jan 2016
Event34th IMAC, A conference on Structural Dynamics -
Duration: 25 Jan 2016 → …

Conference

Conference34th IMAC, A conference on Structural Dynamics
Period25/01/16 → …

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