Assessment and validation of nonlinear identification techniques using simulated numerical and real measured data

A. delli Carri, D. J. Ewins

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

4 Citations (Scopus)

Abstract

In the last ten years, particular effort has been spent dealing with the identification of multi degrees of freedom nonlinear systems. The ever increasing complexity of the structures has gone along with the increasing sophistication of mathematical techniques, so the structural dynamicist often finds himself with many methods to choose from, each of which is—however—capable of addressing just subsets of the whole problem. In IMAC XXXI, a new (modal) parameters identification toolbox approach was introduced, capable of dealing with the different aspects of the nonlinear phenomenon, namely: detection, characterisation, localisation and quantification. A review of available methods was also presented. This paper brings forward the previous idea, assembling a functional toolbox of techniques useful to estimate the dynamics of nonlinear structures using common test practices, without requiring exotic excitations or setups. These techniques are validated against a 4DOF numerical test case with multiple nonlinearities and, finally, applied to a real aeronautical test structure supplied by industry.

Original languageEnglish
Title of host publicationTopics in Modal Analysis II, Volume 8
EditorsRandall Allemang
PublisherSpringer New York LLC
Pages285-298
Number of pages14
Volume8
ISBN (Print)9783319008752
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event32nd IMAC Conference and Exposition on Structural Dynamics, 2014 - Orlando, FL, United States
Duration: 3 Feb 20146 Feb 2014

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
PublisherSpringer Nature

Conference

Conference32nd IMAC Conference and Exposition on Structural Dynamics, 2014
CountryUnited States
CityOrlando, FL
Period3/02/146/02/14

Keywords

  • Experimental data
  • Nonlinear modal testing
  • Reverse path
  • Review
  • Subspace identification

ASJC Scopus subject areas

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

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  • Cite this

    delli Carri, A., & Ewins, D. J. (2014). Assessment and validation of nonlinear identification techniques using simulated numerical and real measured data. In R. Allemang (Ed.), Topics in Modal Analysis II, Volume 8 (Vol. 8, pp. 285-298). (Conference Proceedings of the Society for Experimental Mechanics Series). Springer New York LLC. https://doi.org/10.1007/978-3-319-04774-4_28