Long term structural health monitoring for old deteriorated bridges

A Copula-ARMA approach

authored by: Yi Zhang, Chul Woo Kim, Lian Zhang, Yongtao Bai, Hao Yang, Xiangyang Xu, Zhenhao Zhang
Abstract: Long term structural health monitoring has gained wide attention among civil engineers in recent years due to the scale and severity of infrastructure deterioration. Establishing effective damage indicators and proposing enhanced monitoring methods are of great interests to the engineering practices. In the case of bridge health monitoring, long term structural vibration measurement has been acknowledged to be quite useful and utilized in the planning of maintenance works. Previous researches are majorly concentrated on linear time series models for the measurement, whereas nonlinear dependences among the measurement are not carefully considered. In this paper, a new bridge health monitoring method is proposed based on the use of long term vibration measurement. A combination of the fundamental ARMA model and copula theory is investigated for the first time in detecting bridge structural damages. The concept is applied to a real engineering practice in Japan. The efficiency and accuracy of the copula based damage indicator is analyzed and compared in different window sizes. The performance of the copula based indicator is discussed based on the damage detection rate between the intact structural condition and the damaged structural condition.
Organisation(s): Geodetic Institute
External Organisation(s): Tsinghua University
Kyoto University
Chongqing University
Changsha University of Science and Technology
Type: Article
Journal: Smart Structures and Systems
Volume: 25
Pages: 285-299
No. of pages: 15
ISSN: 1738-1584
Publication date: 25.03.2020
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering
Electronic version(s): https://doi.org/10.12989/sss.2020.25.3.285 (Access: Closed)
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