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Long term structural health monitoring for old deteriorated bridges

A Copula-ARMA approach

verfasst von
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.

Organisationseinheit(en)
Geodätisches Institut
Externe Organisation(en)
Tsinghua University
Kyoto University
Chongqing University
Changsha University of Science and Technology
Typ
Artikel
Journal
Smart Structures and Systems
Band
25
Seiten
285-299
Anzahl der Seiten
15
ISSN
1738-1584
Publikationsdatum
25.03.2020
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Steuerungs- und Systemtechnik, Angewandte Informatik, Elektrotechnik und Elektronik
Elektronische Version(en)
https://doi.org/10.12989/sss.2020.25.3.285 (Zugang: Geschlossen)
 

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