Informative Data for Model Parameter Updating
2001 (English)In: Proceedings of IMAC XIX, Orlando, Florida, 2001, 581-586 p.Conference paper (Refereed)
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.
Informative Data Finite Element Model Updating
Research subject Technology (byts ev till Engineering), Mechanical Engineering
IdentifiersURN: urn:nbn:se:lnu:diva-34583OAI: oai:DiVA.org:lnu-34583DiVA: diva2:721040
2001 IMAC XIX - 19th International Modal Analysis Conference