Model upgrading T0 augment linear model capabilities into nonlinear regions

S.B. Cooper, A. delli Carri, D. Di Maio*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Identification of nonlinear dynamical systems have enjoyed significant progression over the past few years with the outcome of various developed identificationmethods, however there is still no generalised method applicable to structures with arbitrary nonlinearity. In the analysis of nonlinear dynamical system, it is essential to establish accurate and reliable tools that are capable of estimating the parameters from measured data for both the linear and nonlinear system. This paper presents a modular framework approach for upgrading a valid linear finite element structural model to accommodate any nonlinearities present in a system. To validate the efficiency of the proposed method, numerical and experimental studies are conducted on a “Multiple Beam Test Structure”, the method uses an iterative process to upgrade the nonlinear terms in the system. The results are verified by comparing predicted new response with measured data.

Original languageEnglish
Title of host publicationNonlinear Dynamics
Subtitle of host publicationProceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016
EditorsGaetan Kerschen
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-319-29739-2
ISBN (Print)978-3-319-29738-5
Publication statusPublished - 2016
Externally publishedYes
Event34th Conference and Exposition on Structural Dynamics, IMAC 2016 - Orlando, United States
Duration: 25 Jan 201628 Jan 2016
Conference number: 34

Publication series

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


Conference34th Conference and Exposition on Structural Dynamics, IMAC 2016
Abbreviated titleIMAC
Country/TerritoryUnited States


  • Finite element
  • Model upgrading
  • Nonlinearities
  • Structural models and framework


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