Information in Data Used for Finite Element Model Updating: Theory and Experiment
2001 (English)In: Proceedings of SEM Annual Conference on Experimental Mechanics, Portland, Oregon, 2001Conference paper (Refereed)
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.
Information Test Data Model Updating
Research subject Technology (byts ev till Engineering), Mechanical Engineering
IdentifiersURN: urn:nbn:se:lnu:diva-34588OAI: oai:DiVA.org:lnu-34588DiVA: diva2:721050
SEM Annual Conference on Experimental Mechanics