Paper
8 April 2010 Quantification of fatigue cracking in CT specimens with passive and active piezoelectric sensing
Jianguo Yu, Paul Ziehl, Boris Zarate, Juan Caicedo, Lingyu Yu, Victor Giurgiutiu, Brian Metrovich, Fabio Matta
Author Affiliations +
Abstract
Monitoring of fatigue cracks in steel bridges is of interest to bridge owners and agencies. Monitoring of fatigue cracks has been attempted with acoustic emission using either resonant or broadband sensors. One drawback of passive sensing is that the data is limited to that caused by growing cracks. In this work, passive emission was complemented with active sensing (piezoelectric wafer active sensors) for enhanced detection capabilities. Passive and active sensing methods were described for fatigue crack monitoring on specialized compact tension specimens. The characteristics of acoustic emission were obtained to understand the correlation of acoustic emission behavior and crack growth. Crack and noise induced signals were interpreted through Swansong II Filter and waveform-based approaches, which are appropriate for data interpretation of field tests. Upon detection of crack extension, active sensing was activated to measure the crack size. Model updating techniques were employed to minimize the difference between the numerical results and experimental data. The long term objective of this research is to develop an in-service prognostic system to monitor structural health and to assess the remaining fatigue life.
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Jianguo Yu, Paul Ziehl, Boris Zarate, Juan Caicedo, Lingyu Yu, Victor Giurgiutiu, Brian Metrovich, and Fabio Matta "Quantification of fatigue cracking in CT specimens with passive and active piezoelectric sensing", Proc. SPIE 7649, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2010, 76490R (8 April 2010); https://doi.org/10.1117/12.847945
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Cited by 10 scholarly publications.
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KEYWORDS
Acoustic emission

Data modeling

Active remote sensing

Bridges

Transducers

Lead

Sensors

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