Damage Detection for Continuous Bridge Based on Static-Dynamic Condensation and Extended Kalman Filtering
Joint Authors
Lv, Yongwei
He, Haoxiang
Han, Enzhen
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
As an effective and classical method about physical parameter identification, extended Kalman filtering (EKF) algorithm is widely used in structural damage identification, but the equations and solutions for the structure with bending deformation are not established based on EKF.
The degrees of freedom about rotation can be eliminated by the static condensation method, and the dynamic condensation method considering Rayleigh damping is proposed in order to establish the equivalent and simplified modal based on complex finite element model such as continuous girder bridge.
According to the requirement of bridge inspection and health monitoring, the online and convenient damage detection method based on EKF is presented.
The impact excitation can be generated only on one location by one hammer actuator, and the signal in free vibration is analyzed.
The deficiency that the complex excitation information is needed based on the traditional method is overcome.
As a numerical example, a three-span continuous girder bridge is simulated, and the corresponding stiffness, the damage location and degree, and the damping parameter are identified accurately.
It is verified that the method is suitable for the dynamic signal with high noise-signal ratio; the convergence speed is fast and this method is feasible for application.
American Psychological Association (APA)
He, Haoxiang& Lv, Yongwei& Han, Enzhen. 2014. Damage Detection for Continuous Bridge Based on Static-Dynamic Condensation and Extended Kalman Filtering. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-492212
Modern Language Association (MLA)
He, Haoxiang…[et al.]. Damage Detection for Continuous Bridge Based on Static-Dynamic Condensation and Extended Kalman Filtering. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-492212
American Medical Association (AMA)
He, Haoxiang& Lv, Yongwei& Han, Enzhen. Damage Detection for Continuous Bridge Based on Static-Dynamic Condensation and Extended Kalman Filtering. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-492212
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-492212