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Nonlinear Structural Identification Using a Multi-Harmonic  Frequency Response Functions
Chalmers. (Strukturdynamik)
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In industrial structural dynamics problems, linear FE-models commonly serve to represent the global structural behavior. However, when test data are available they often show evidence of nonlinear dynamic characteristics. In that case, an initial linear model may be judged insufficient in representing the dynamics of the structure. The causes of the non-linear characteristics may be local in nature whereas the major part of the structure is satisfactorily represented by linear descriptions. Although the initial model can serve as a good foundation, all physical properties required for representing the real structure with high fidelity are most likely not included in the initial model. Therefore, a set of parameterized candidate properties controlling the nonlinear effects have to be added. The selection of the candidates is a delicate task which must be based on insight into the physical processes that control the structure at hand. The focus of this thesis is on the selection of uncertain model parameters together with the forming of the objective function to be used for calibration. To give precise estimation of parameters in the presence of measurement noise, the objective function data have to be informative with respect to the selected parameters. Also, to get useful test data for calibration, the system stimuli need to be properly designed. A multi-harmonic stationary sinusoidal excitation is here considered since the corresponding steady-state responses at the different harmonic orders are shown to contain valuable information for the calibration process.

Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology , 2013. , 14 p.
Series
Thesis for the degree of Licentiate of Engineering / Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden, ISSN 1652-8565 ; 2013:24
Keyword [en]
Nonlinear structure, inverse problem, grey box system identification, finite element model updating, identifiability, Fisher information matrix, multi-harmonic frequency response function
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-34738Libris ID: 16422728OAI: oai:DiVA.org:lnu-34738DiVA: diva2:722278
Presentation
2013-12-11, EE, Hörsalsvägen 11, Göteborg, 14:11 (English)
Opponent
Supervisors
Funder
VINNOVA
Available from: 2015-12-11 Created: 2014-06-06 Last updated: 2015-12-11Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf