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Regularised finite element model updating using measured incomplete modal data

Regularised finite element model updating using measured incomplete modal data

Chen, Hua-Peng and Maung, Than Soe (2014) Regularised finite element model updating using measured incomplete modal data. Journal of Sound and Vibration, 333 (21). pp. 5566-5582. ISSN 0022-460X (doi:10.1016/j.jsv.2014.05.051)

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Abstract

This paper presents an effective approach for directly updating finite element model from measured incomplete vibration modal data with regularised algorithms. The proposed method is based on the relationship between the perturbation of structural parameters such as stiffness change and the modal data measurements of the tested structure such as measured mode shape readings. In order to adjust structural parameters at detailed locations, structural updating parameters will be selected at critical point level to reflect the modelling errors at the connections of structural elements. These updating parameters are then evaluated by an iterative or a direct solution procedure, which gives optimised solutions in the least squares sense without requiring an optimisation technique. In order to reduce the influence of modal measurement uncertainty, the Tikhonov regularisation method incorporating the L-curve criterion is employed to produce reliable solutions for the chosen updating parameters. Numerical simulation investigations and experimental studies for the laboratory tested space steel frame structure are undertaken to verify the accuracy and effectiveness of the proposed methods for adjusting the stiffness at the joints of structural members. The results demonstrate that the proposed methods provide reliable estimates of finite element model updating using the measured incomplete modal data.

Item Type: Article
Uncontrolled Keywords: finite element model, incomplete mode shapes, finite element method
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Related URLs:
Last Modified: 18 Apr 2017 14:35
Selected for GREAT 2016: GREAT b
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/13336

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