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Long-term health monitoring for deteriorated bridge structures based on Copula Theory

Long-term health monitoring for deteriorated bridge structures based on Copula Theory

Yi, Zhang, Kim, Chul-Woo, Tee, Kong Fah ORCID: 0000-0003-3202-873X, Garg, Akhil and Garg, Ankit (2018) Long-term health monitoring for deteriorated bridge structures based on Copula Theory. Smart Structures and Systems, 21 (2). pp. 171-185. ISSN 1738-1584 (Print), 1738-1991 (Online) (doi:https://doi.org/10.12989/sss.2018.21.2.171)

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Abstract

Maintenance of deteriorated bridge structures has always been one of the challenging issues in developing countries as it is directly related to daily life of people including trade and economy. An effective maintenance strategy is highly dependent on timely inspections on the bridge health condition. This study is intended to investigate an approach for detecting bridge damage for the long-term health monitoring by use of copula theory. Long-term measured data for the seven-span plate-Gerber bridge is investigated. Autoregressive time series models constructed for the observed accelerations taken from the bridge are utilized for the computation of damage indicator for the bridge. The copula model is used to analyze the statistical changes associated with the modal parameters. The changes in the modal parameters with the time are identified by the copula statistical properties. Applicability of the proposed method is also discussed based on a comparison study among other approaches.

Item Type: Article
Uncontrolled Keywords: copula; structural health monitoring; bridge structure; long-term assessment
Subjects: T Technology > TG Bridge engineering
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Engineering Science
Last Modified: 29 Oct 2018 16:13
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19745

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