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Informative Data for Model Parameter Updating
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 IMAC XIX, Orlando, Florida, 2001, 581-586 p.Conference paper (Refereed)
Abstract [en]

Before an error localization is to be carried out a preparatory error localization, using only data from an FE-analysis, is justified. The purpose of such preparatory work is both to decide what parameters to use to quantify model errors and to design opti- mal tests for the error localization. A reasonable re- quirement on the parameterization is that the test data are informative with respect to the parameters. That implies that a change of a certain parameter should give a detectable change in the model’s dy- namic behaviour.


The aim of this study is to examine data informa- tivity with respect to physical parameters, used in error localization and model updating. The data in- formativity is here quantified by the use of the Fisher information matrix. It is shown that the in- formativity depends on both excitation and meas- urements. It is reasonable to believe that parameters of which test data have low informativ- ity, are of no use for error localization and should not be used for model updating purposes. Such pa- rameters should be excluded from the parameters set or the test aimed for its determination should be re-designed.

Place, publisher, year, edition, pages
Orlando, Florida, 2001. 581-586 p.
Keyword [en]
Informative Data Finite Element Model Updating
National Category
Applied Mechanics
Research subject
Technology (byts ev till Engineering), Mechanical Engineering
URN: urn:nbn:se:lnu:diva-34583OAI: diva2:721040
2001 IMAC XIX - 19th International Modal Analysis Conference
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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