Nonlinear identification of a numerical benchmark structure: From measurements to FE model updating

A. Delli Carri, D. J. Ewins

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

During the last couple of years, the authors presented a novel approach to the modal testing of nonlinear structures, based on the assumptions that each nonlinear system possesses an underlying linear model on top of which a discrete number of localisable nonlinear elements (i.e. joints) act. This approach exploits the physical space of the system - as opposed to the modal space - and uses different algorithms (modules) in order to Detect, Characterise, Localise and Quantify the nonlinear elements. The numerical benchmark system presented in 2013 has been used in this paper to test the approach and to perform a full modal test of a nonlinear structure in a virtual environment, from the measurement phase to FE model updating.

Original languageEnglish
Title of host publicationProceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
PublisherKU Leuven
Pages2437-2452
Number of pages16
ISBN (Electronic)9789073802919
Publication statusPublished - 2014
Externally publishedYes
Event26th International Conference on Noise and Vibration Engineering, ISMA 2014, Including the 5th International Conference on Uncertainty in Structural Dynamics, USD 2014 - Leuven, Belgium
Duration: 15 Sep 201417 Sep 2014

Conference

Conference26th International Conference on Noise and Vibration Engineering, ISMA 2014, Including the 5th International Conference on Uncertainty in Structural Dynamics, USD 2014
CountryBelgium
CityLeuven
Period15/09/1417/09/14

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Acoustics and Ultrasonics

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  • Cite this

    Delli Carri, A., & Ewins, D. J. (2014). Nonlinear identification of a numerical benchmark structure: From measurements to FE model updating. In Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp. 2437-2452). KU Leuven.