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Information in Data Used for Finite Element Model Updating: Theory and Experiment
Chalmers University of Technology. (Maskinteknik)ORCID iD: 0000-0002-4404-5708
Chalmers University of Technology. (Strukturdynamik)
Structural Engineering Program, School of Civil Engineering, Asian Institute of Technology.
2001 (English)In: Proceedings of SEM Annual Conference on Experimental Mechanics, Portland, Oregon, 2001Conference paper (Refereed)
Abstract [en]

To discriminate bad parameter settings from good, in finite element modelling, experimental data is usually required. Such experimental data should be informative with respect to the parameters in ques- tion. The demand for informativeness put require- ments on the experiment with regards to spatial resolution of sensors, bandwidth of shaker excita- tion, ambient noise levels, etc. In this paper, in- formativeness is studied by means of the Fisher information matrix and parameter accuracy is relat- ed to the adjoint statistical Cramer-Rao lower bound. The evaluation of information content in data used for model updating is discussed. Deter- ministic state-space models and stochastic noise models are used for informativeness evaluation. A numerical study together with Scanning laser vi- brometer measurements, on a system with well known mass perturbations, are used to substantiate the theory.

Place, publisher, year, edition, pages
Portland, Oregon, 2001.
Keyword [en]
Information Test Data Model Updating
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
URN: urn:nbn:se:lnu:diva-34588OAI: diva2:721050
SEM Annual Conference on Experimental Mechanics
Available from: 2014-06-03 Created: 2014-06-03 Last updated: 2015-05-24Bibliographically approved

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Linderholt, Andreas
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