Multi‐stage parameter identification of structural models from experimental data of varying assembly levels

Multi‐stage parameter identification of structural models from experimental data of varying... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proceedings in Applied Mathematics & Mechanics Wiley

Multi‐stage parameter identification of structural models from experimental data of varying assembly levels

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Publisher
Wiley
Copyright
Copyright © 2017 Wiley Subscription Services
ISSN
1617-7061
eISSN
1617-7061
D.O.I.
10.1002/pamm.201710120
Publisher site
See Article on Publisher Site

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.

Journal

Proceedings in Applied Mathematics & MechanicsWiley

Published: Jan 1, 2017

References

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