Damage Detection Based On Damping Analysis Of Ambient Vibration Data

Feng, Maria Q.; Soyoz, Serdar; Frizzarin, Michele; Franchetti, Paolo; Modena, Claudio

Enabling an automated, remote and rapid detection of structural damage, sensor-based structural health monitoring is becoming a powerful tool for maintenance of civil engineering structures. In this study, a baseline-free, time-domain damage detection method was developed for concrete structures, which is based on analysis of nonlinear damping from measured structural vibration responses. The efficacy of the proposed method was demonstrated through a large-scale concrete bridge model subjected to different levels of seismic damage caused by shaking table tests. By applying the random decrement signature technique, the proposed method successfully identified, from its ambient vibration responses, nonlinear damping of the bridge associated with the seismic damage. The amount of the nonlinear damping increases as the seismic damage becomes more severe. This paper also compares the damage detection results with those obtained by stiffness-based methods, demonstrating a strong correlation between the increase in nonlinear damping and the decrease in structural stiffness associated with the increase in damage severity.


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Also Published In

Structural Control and Health Monitoring

More About This Work

Academic Units
Civil Engineering and Engineering Mechanics
Published Here
March 27, 2013