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Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects

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Jesus, André H., Brommer, Peter, Westgate, Robert, Koo, Ki, Brownjohn, James and Laory, Irwanda (2019) Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects. Structural Health Monitoring, 18 (4). pp. 1310-1323. doi:10.1177/1475921718794299 ISSN 1475-9217.

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Official URL: http://dx.doi.org/10.1177/1475921718794299

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Abstract

This article presents a probabilistic structural identification of the Tamar bridge using a detailed finite element model. Parameters of the bridge cables initial strain and bearings friction were identified. Effects of temperature and traffic were jointly considered as a driving excitation of the bridge’s displacement and natural frequency response. Structural identification is performed with a modular Bayesian framework, which uses multiple response Gaussian processes to emulate the model response surface and its inadequacy, that is, model discrepancy. In addition, the Metropolis–Hastings algorithm was used as an expansion for multiple parameter identification. The novelty of the approach stems from its ability to obtain unbiased parameter identifications and model discrepancy trends and correlations. Results demonstrate the applicability of the proposed method for complex civil infrastructure. A close agreement between identified parameters and test data was observed. Estimated discrepancy functions indicate that the model predicted the bridge mid-span displacements more accurately than its natural frequencies and that the adopted traffic model was less able to simulate the bridge behaviour during traffic congestion periods.

Item Type: Journal Article
Subjects: T Technology > TG Bridge engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Tamar bridge (England) -- Research, Finite element method, Gaussian processes
Journal or Publication Title: Structural Health Monitoring
Publisher: Sage Publications Ltd.
ISSN: 1475-9217
Official Date: 1 July 2019
Dates:
DateEvent
1 July 2019Published
3 September 2018Available
3 September 2018Accepted
Volume: 18
Number: 4
Page Range: pp. 1310-1323
DOI: 10.1177/1475921718794299
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 11 September 2018
Date of first compliant Open Access: 11 September 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N509796[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
ID: 217544274British Councilhttp://dx.doi.org/10.13039/501100000308

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