Paper
15 April 2016 Investigation of piezoelectric impedance-based health monitoring of structure interface debonding
Li Xiao, Guofeng Chen, Xiaoming Chen, Wenzhong Qu
Author Affiliations +
Abstract
Various damages might occur during the solid rocket motor (SRM) manufacturing/operational phase, and the debonding of propellant/insulator/composite case interfaces is one of damage types which determine the life of a motor. The detection of such interface debonding damage will be beneficial for developing techniques for reliable nondestructive evaluation (NDE) and structural health monitoring (SHM). Piezoelectric sensors are widely used for structural health monitoring technique. In particular, electromechanical impedance (EMI) techniques give simple and low-cost solutions for detecting damage in various structures. In this work, piezoelectric EMI structural health monitoring technique is applied to identify the debonding condition of propellant/insulator interface structure using finite element method and experimental investigation. A three-dimensional coupled field finite element model is developed using the software ANSYS and the harmonic analysis is conducted for high-frequency impedance analysis procedure. In the experimental study, the impedance signals were measured from PZT and MFC sensors outside attached to composite case monitoring the different debonding conditions between the propellant and insulator. Root mean square deviation (RMSD) based damage index is conducted to quantify the changes i n impedance for different de bonding conditions and frequency range. Simulation and experimental results confirmed that the EMI technique can be used effectively for detecting the debonding damage in SRM and is expected to be useful for future application of real SRM’s SHM.
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Li Xiao, Guofeng Chen, Xiaoming Chen, and Wenzhong Qu "Investigation of piezoelectric impedance-based health monitoring of structure interface debonding", Proc. SPIE 9799, Active and Passive Smart Structures and Integrated Systems 2016, 97993J (15 April 2016); https://doi.org/10.1117/12.2219274
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Ferroelectric materials

Interfaces

Electromagnetic coupling

Sensors

Microsoft Foundation Class Library

Solids

Structural health monitoring

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