Model updating incorporating measured response uncertainties and confidence levels of tuning parameters

Kodikara, K.A. Tharindu L. and Chan, Tommy H.T. and Nguyen, Andy and Thambiratnam, David P. (2016) Model updating incorporating measured response uncertainties and confidence levels of tuning parameters. International Journal of Lifecycle Performance Engineering, 2 (1/2). pp. 61-78. ISSN 2043-8648

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Abstract

Automated model updating of real civil engineering structures is often very challenging due to the presence of different degrees of uncertainty in measured responses and confidence levels of the tuning parameters used. To address this issue, this paper presents a hybrid model updating procedure for large-scale civil engineering structures which incorporate these variations by means of data scatter for both measured responses and tuning parameters as a logical extension to the conventional automated model updating procedures. Scatters in the
measured responses are derived through statistically analysing ambient vibration test data, while confidence
levels of tuning parameters are derived based on the engineering judgement. The results of applying this hybrid
model automated model updating procedure to a ten story building show a significant improvement in obtaining
more realistic updated models, against its conventional counterpart that was done previously on the same
structure.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Date Deposited: 19 Dec 2018 02:56
Last Modified: 11 Jan 2019 05:44
Uncontrolled Keywords: automated model updating, uncertainty of measured data, confidence of tuning parameters, ambient vibration, finite element modelling
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Identification Number or DOI: 10.1504/IJLCPE.2016.082712
URI: http://eprints.usq.edu.au/id/eprint/35267

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