Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 285-299 |
| Seitenumfang | 15 |
| Fachzeitschrift | Smart Structures and Systems |
| Jahrgang | 25 |
| Ausgabenummer | 3 |
| Publikationsstatus | Veröffentlicht - 25 März 2020 |
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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Informatik (insg.)
- Angewandte Informatik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Smart Structures and Systems, Jahrgang 25, Nr. 3, 25.03.2020, S. 285-299.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Long term structural health monitoring for old deteriorated bridges
T2 - A Copula-ARMA approach
AU - Zhang, Yi
AU - Kim, Chul Woo
AU - Zhang, Lian
AU - Bai, Yongtao
AU - Yang, Hao
AU - Xu, Xiangyang
AU - Zhang, Zhenhao
N1 - Funding Information: The authors gratefully acknowledge the financial support from National Natural Science Foundation of China under project number of Grand No. 51908324. The support from Tsinghua University Initiative Scientific Research Program is also greatly appreciated.
PY - 2020/3/25
Y1 - 2020/3/25
N2 - 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.
AB - 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.
KW - ARMA model
KW - Bridge structure
KW - Copula
KW - Long term assessment
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85090558846&partnerID=8YFLogxK
U2 - 10.12989/sss.2020.25.3.285
DO - 10.12989/sss.2020.25.3.285
M3 - Article
AN - SCOPUS:85090558846
VL - 25
SP - 285
EP - 299
JO - Smart Structures and Systems
JF - Smart Structures and Systems
SN - 1738-1584
IS - 3
ER -