Paper
8 April 2009 Piezoelectric based sensing in wireless steel bridge health monitoring
Author Affiliations +
Abstract
rent routine inspection practices for bridge health monitoring are not sufficient for the timely identification of areas of concern or to provide enough information to bridge owners to make informed decisions for maintenance prioritization. Continuous monitoring is needed for long term evaluation from an integrated sensing system that would act as a monitoring and early warning alarm system and be able to communicate the information from the bridge directly to the bridge owners for potential and immediate action. To address this urgent highway bridge health monitoring need, a joint venture research has been initiated by incorporating novel and promising sensing approach based on piezoelectricity together with energy harvesting to reduce the dramatic uncertainty inherent into any inspection and maintenance plan. In the system, the damage detection and classification is focused on the use of piezoelectric wafer active sensors (PWAS) at both active (Lamb wave interrogation) mode and passive (acoustic emission) mode on steel bridge. For efficient energy usage, the active mode will be triggered when acoustic emission caused by the structural change is detected. In the active sensing mode, computed array imaging will be used to detect the presence of crack and to track its growth. To further quantify the crack growth, damage physics based damage indicator will be defined and used to trace the crack growth as well.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingyu Yu, Victor Giurgiutiu, Paul Ziehl, and Didem Ozevin "Piezoelectric based sensing in wireless steel bridge health monitoring", Proc. SPIE 7294, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2009, 72941D (8 April 2009); https://doi.org/10.1117/12.830128
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Cited by 4 scholarly publications.
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KEYWORDS
Bridges

Sensors

Signal detection

Active remote sensing

Sensing systems

Damage detection

Acoustic emission

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