Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

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PDF(108 KB)
Front. Struct. Civ. Eng. ›› 2011, Vol. 5 ›› Issue (4) : 458-464. DOI: 10.1007/s11709-011-0133-7
RESEARCH ARTICLE
RESEARCH ARTICLE

Spectral element modeling based structure piezoelectric impedance computation and damage identification

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Abstract

This paper presents a numerical simulation study on electromechanical impedance technique for structural damage identification. The basic principle of impedance based damage detection is structural impedance will vary with the occurrence and development of structural damage, which can be measured from electromechanical admittance curves acquired from PZT patches. Therefore, structure damage can be identified from the electromechanical admittance measurements. In this study, a model based method that can identify both location and severity of structural damage through the minimization of the deviations between structural impedance curves and numerically computed response is developed. The numerical model is set up using the spectral element method, which is promised to be of high numerical efficiency and computational accuracy in the high frequency range. An optimization procedure is then formulated to estimate the property change of structural elements from the electric admittance measurement of PZT patches. A case study on a pin-pin bar is conducted to investigate the feasibility of the proposed method. The results show that the presented method can accurately identify bar damage location and severity even when the measurements are polluted by 5% noise.

Keywords

PZT / piezoelectric impedance / optimization / spectral element / damage identification

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Zhigang GUO, Zhi SUN. Spectral element modeling based structure piezoelectric impedance computation and damage identification. Front Arch Civil Eng Chin, 2011, 5(4): 458‒464 https://doi.org/10.1007/s11709-011-0133-7

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Acknowledgments

This research was supported by the Rising-star Program of Shanghai Commission of the Science and Technology (No. 09QH1402300), and the Independent Research Program of State Key Laboratory for Disaster Reduction in Civil Engineering (SLDRCE09-B-15).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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