Nonlinear self-sensing impedance-based fatigue crack detection under a low-frequency vibration

Changgil Lee; Seunghee Park

doi:10.1117/12.915483

4 April 2012 Nonlinear self-sensing impedance-based fatigue crack detection under a low-frequency vibration

Changgil Lee, Seunghee Park

Proceedings Volume 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012; 83471I (2012) https://doi.org/10.1117/12.915483
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

Abstract

This paper reports the application of a non-linear impedance technique under a low-frequency vibration to detect structural defects of contact type such as fatigue crack. If the contact-type damage is developed within the structure due to the low-frequency dynamic load, the vibration can cause the fluctuation of structural impedance nonlinearly because of the contact acoustic nonlinearity (CAN). This nonlinear effect can lead to amplitude modulation and phase modulation of the current flow. The nonlinear characteristics of the structural impedance can be extracted by observing coupled electromechanical impedance of a piezoelectric active sensor and a nonlinear wave modulation spectroscopy. For experiment, a low-frequency vibration is applied to a notched coupon at a certain natural frequency by a shaker so that the nonlinear fatigue crack can be formed artificially at the notch tip. Then, the nonlinear features are extracted based on a self-sensing impedance measurement from a host structure under a low-frequency vibration. Damage metric is established based on the nonlinear fluctuation of the impedance due to the CAN.

Citation Download Citation

Changgil Lee and Seunghee Park "Nonlinear self-sensing impedance-based fatigue crack detection under a low-frequency vibration", Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83471I (4 April 2012); https://doi.org/10.1117/12.915483

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