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.
|Publication status||Unpublished - 25 Jan 2016|
|Event||34th IMAC, A conference on Structural Dynamics - |
Duration: 25 Jan 2016 → …
|Conference||34th IMAC, A conference on Structural Dynamics|
|Period||25/01/16 → …|