Investigating nonlinearities in a demo aircraft structure under sine excitation

S. B. Cooper, S. Manzato*, A. Borzacchiello, L. Bregant, B. Peeters

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)


Developing on the basic idea behind parametric and non-parametric identification of nonlinear systems, another case study on integrating system identification and finite element modelling of nonlinear structures is presented. The first step, which is the focus of this paper, involves using acquired input and output data to derive an experimental model for both the underlying linear model and nonlinear model of the proposed structure, no information about the system is required and only the applied excitations and corresponding accelerations are implemented in the nonlinear identification step. The proposed case study is demonstrated on a nonlinear simple metallic plane assembly with localized stiffness and damping nonlinearities; in this case, an updated linear finite element model of the structure is derived and the nonlinearities experimentally characterised.

Original languageEnglish
Title of host publicationModel Validation and Uncertainty Quantification
Subtitle of host publicationProceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019
EditorsRobert Barthorpe
PublisherSpringer New York LLC
Number of pages17
ISBN (Electronic)978-3-030-12075-7
ISBN (Print)9783030120740
Publication statusE-pub ahead of print - 31 May 2019
Event37th IMAC, A Conference and Exposition on Structural Dynamics, 2019 - Orlando, United States
Duration: 28 Jan 201931 Jan 2019

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652


Conference37th IMAC, A Conference and Exposition on Structural Dynamics, 2019
Country/TerritoryUnited States


  • Experimental data
  • Finite element model
  • Nonlinear identification
  • Numerical simulation and system integration


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