Health Diagnostics of Highway Bridges Using Vibration Response Data

Author(s):  
Maria Q. Feng ◽  
Hugo C. Gomez ◽  
Andrea Zampieri
Author(s):  
J. Kim Vandiver

A dimensionless parameter, Su, is proposed which enables a clear presentation of vortex-induced vibration response data in sheared and uniform flows. The ability of the parameter to account for the effects of damping, flow velocity and power-in length is demonstrated with response data from an unusual set of experiments conducted by SHELL Development Co. The historical relationship of the new parameter to the earlier work of Owen Griffin is also presented.


Author(s):  
Jing Shi ◽  
X. W. Tangpong

Damage detection is important for sensing and analyzing the degradation of structures, and can effectively avoid potential catastrophic failures. Among the numerous studies in literature, most emphasis was given to the damage detection based on vibration response signals for simple beam structures. In this paper, the feasibility of roughness method for plates was investigated using both vibration-based data and static deformation data. Two detection methods, namely, roughness method and fractal dimension method, were used to analyze the data. Both types of data were obtained for aluminum plates using finite element simulation. It was found that both methods were able to detect the damage and locate its position precisely with the two types of signals. The effectiveness of damage detection using static deformation data was further demonstrated by experimenting with a cracked cantilever beam. A computer vision camera efficiently and automatically collected the static deformation data, and this approach showed great potential compared with the expensive and time-consuming collection process for vibration response data such as mode shapes.


2011 ◽  
Vol 05 (03) ◽  
pp. 259-270 ◽  
Author(s):  
TADANOBU SATO ◽  
YOUHEI TANAKA

In this paper, we propose a new attractor-based structural damage detection technique using chaotic excitation. Attractor is reconstructed using vibration response data and sensitive to the change of the system dynamics. By comparing the change of attractors from healthy and damaged structures, we detect and localize the damage. We use recurrence analysis to analyze the change of attractor. Numerical example demonstrates the robustness and sensitivity of the proposed method.


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