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http://dx.doi.org/10.12989/sss.2018.21.2.171

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

Zhang, Yi (Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University)
Kim, Chul-Woo (Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University)
Tee, Kong Fah (Department of Engineering Science, University of Greenwich)
Garg, Akhil (Department of Mechatronics Engineering, Shantou University)
Garg, Ankit (Department of Mechatronics Engineering, Shantou University)
Publication Information
Smart Structures and Systems / v.21, no.2, 2018 , pp. 171-185 More about this Journal
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.
Keywords
copula; structural health monitoring; bridge structure; long-term assessment;
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