Performance comparison of Kalman−based filters for nonlinear structural finite element model updating

Finite element (FE) model updating has emerged as a powerful technique for structural health monitoring and damage identification of civil structures. Updating mechanics-based nonlinear FE models allows for a complete and comprehensive damage diagnosis of large and complex structures, but it is comp...

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Veröffentlicht in:	Journal of sound and vibration Jg. 438; S. 520 - 542
Hauptverfasser:	Astroza, Rodrigo, Ebrahimian, Hamed, Conte, Joel P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 06.01.2019 Elsevier Science Ltd
Schlagworte:	Accuracy Computational efficiency Computer simulation Concrete construction Damage detection Damage identification Divergence Earthquake damage Extended Kalman filter Finite element analysis Finite element method Frame structures Kalman filters Kalman-based filter Mathematical models Mechanics (physics) Model updating Nonlinear finite element model Parameter estimation Recursive methods Reinforced concrete Robustness (mathematics) Seismic engineering Structural damage Structural health monitoring Parameter estimation Damage identification Kalman-based filter Nonlinear finite element model
ISSN:	0022-460X, 1095-8568
Online-Zugang:	Volltext
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