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Numerical and experimental studies of a substructural identification strategy

Numerical and experimental studies of a substructural identification strategy

Tee, Kong, Koh, C.G. and Quek, S.T. (2009) Numerical and experimental studies of a substructural identification strategy. Structural Health Monitoring, 8 (5). pp. 397-410. ISSN 1475-9217 (Print), 1741-3168 (Online) (doi:10.1177/1475921709102089)

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Abstract

For structural health monitoring it is impractical to identify a large structure with complete measurement due to limited number of sensors and difficulty in field instrumentation. Furthermore, it is not desirable to identify a large number of unknown parameters in a full system because of numerical difficulty in convergence. A novel substructural strategy was presented for identification of stiffness matrices and damage assessment with incomplete measurement. The substructural approach was employed to identify large systems in a divide-and-conquer manner. In addition, the concept of model condensation was invoked to avoid the need for complete measurement, and the recovery process to obtain the full set of parameters was formulated. The efficiency of the proposed method is demonstrated numerically through multi-storey shear buildings subjected to random force. A fairly large structural system with 50 DOFs was identified with good results, taking into consideration the effects of noisy signals and the limited number of sensors. Two variations of the method were applied, depending on whether the sensor could be repositioned. The proposed strategy was further substantiated experimentally using an eight-storey steel plane frame model subjected to shaker and impulse hammer excitations. Both numerical and experimental results have shown that the proposed substructural strategy gave reasonably accurate identification in terms of locating and quantifying structural damage.

Item Type: Article
Additional Information: [1] First published online: 30 June 2009. [2] Published in print: September 2009. [3] Published as: Structural Health Monitoring, (2009), Vol. 8, (5), pp. 397-410.
Uncontrolled Keywords: substructure, condensed model, damage assessment, system identification, numerical analysis, experiment
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Civil Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1773

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