damage detection
Recently Published Documents


TOTAL DOCUMENTS

5855
(FIVE YEARS 1325)

H-INDEX

99
(FIVE YEARS 14)

2022 ◽  
Vol 170 ◽  
pp. 108767
Author(s):  
Alexander Mendler ◽  
Michael Döhler ◽  
Carlos E. Ventura

2022 ◽  
Vol 168 ◽  
pp. 108738
Author(s):  
Yujue Zhou ◽  
Yonglai Zheng ◽  
Yongcheng Liu ◽  
Tanbo Pan ◽  
Yubao Zhou

2022 ◽  
Vol 164 ◽  
pp. 108241
Author(s):  
Eva Viefhues ◽  
Michael Döhler ◽  
Falk Hille ◽  
Laurent Mevel
Keyword(s):  

2022 ◽  
Vol 2022 ◽  
pp. 1-18
Author(s):  
Ying Zhang ◽  
Hongping Zhu ◽  
Shun Weng

An isolation bearing consumes most of the seismic energy of a structure and is vulnerable to destruction. The performance of isolation bearings is usually evaluated according to the global stiffness and energy dissipation capacity. However, the early minor damage in isolation bearings is difficult to identify. In this study, a damage detection scheme for the isolation bearing is proposed by focusing on the antiresonance of the quasiperiodic structure. Firstly, a laminated rubber bearing was simplified as a monocoupled periodic rubber-steel structure. The characteristic equation of the driving point antiresonance frequency of the periodic system was achieved via the dynamic stiffness method. Secondly, the sensitivity coefficient of the driving point antiresonance, which was obtained from the first-order derivative of the antiresonance frequency, with respect to the damage scaling parameter was derived using the antiresonance frequency characteristic equation. Thirdly, the optimised driving points of the antiresonance frequencies were selected by means of sensitivity analysis. Finally, from the measured changes in the antiresonance frequencies, the damage was identified by solving the sensitivity identification equation via a numerical optimisation method. The application of the proposed method to laminated rubber bearings under various damage cases demonstrates the feasibility of this method. This study has proven that changes in the shear modulus of each rubber layer can be identified accurately.


Sign in / Sign up

Export Citation Format

Share Document