Multi‐stage parameter identification of structural models from experimental data of varying assembly levels. Issue 1 (15th March 2018)

• Record Type: Journal Article
• Authors: Greiner, Benjamin; Wagner, Jörg F.
• Is Part Of: Proceedings in applied mathematics and mechanics. Volume 17:Issue 1(2017)
• Page Start: 301
• Page End: 302
• Publication Date: 2018-03-15
• Subjects: Applied mathematics -- Periodicals; Engineering mathematics -- Periodicals; Mathematical physics -- Periodicals; 519
• DOI: 10.1002/pamm.201710120
• Languages: English
• ISSNs: 1617-7061

Abstract

Abstract: 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. 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)