Model upgrading to augment linear model capabilities into nonlinear regions

S. B. Cooper, A. Delli Carri, D. Di Maio

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

Abstract

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
PublisherSpringer New York LLC
Pages203-217
Number of pages15
Volume1
ISBN (Print)9783319297385
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event34th IMAC, A Conference and Exposition on Structural Dynamics, 2016 - Orlando, United States
Duration: 25 Jan 201628 Jan 2016

Conference

Conference34th IMAC, A Conference and Exposition on Structural Dynamics, 2016
CountryUnited States
CityOrlando
Period25/01/1628/01/16

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)
  • Computational Mechanics
  • Mechanical Engineering

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  • Cite this

    Cooper, S. B., Delli Carri, A., & Di Maio, D. (2016). Model upgrading to augment linear model capabilities into nonlinear regions. In Nonlinear Dynamics (Vol. 1, pp. 203-217). Springer New York LLC. https://doi.org/10.1007/978-3-319-29739-2_19