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Medientyp: E-Artikel Titel: Multi‐stage parameter identification of structural models from experimental data of varying assembly levels Beteiligte: Greiner, Benjamin; Wagner, Jörg F. Erschienen: Wiley, 2017 Erschienen in: PAMM Sprache: Englisch DOI: 10.1002/pamm.201710120 ISSN: 1617-7061 Schlagwörter: General Medicine Entstehung: Anmerkungen: Beschreibung: <jats:title>Abstract</jats:title><jats:p>Classical applications of the Finite Element Method (FEM) in the aerospace industry use structural models to predict dynamical properties during all design and integration phases. During development, test results are used for the identification and updates of model parameters. In recent years, the availability of structures with electromechanical components, such as actively controlled subsystems or systems with structural health monitoring, has extended the amount of available data suitable for parameter identification in operational conditions even beyond the development phase.</jats:p><jats:p>The contribution presents an approach of using measurement data from different stages of structural assemblies for the identification and update of model parameters. Estimating parameters for subassembly models is preferred, because it is often more intuitive than a global approach in a complex model. Estimation uncertainties propagating to higher assembly levels have to be considered when assessing the model accuracy of a composed model. (© 2017 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)</jats:p>