Experimental design of dynamic model-based damage identification in piezoelectric ceramics

[EN] A model-based inverse problem strategy is proposed for damage characterization, starting from the electromechanical response measurement as input data, and incorporating a numerical model that simulates the piezoelectric response. Furthermore, a sensitivity analysis is developed to provide a ra...

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Hauptverfasser: Rus, Guillermo, Palma, Roberto, Pérez-Aparicio, José L
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Sprache:eng
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Zusammenfassung:[EN] A model-based inverse problem strategy is proposed for damage characterization, starting from the electromechanical response measurement as input data, and incorporating a numerical model that simulates the piezoelectric response. Furthermore, a sensitivity analysis is developed to provide a rational basis to correctly design the excitation/measurement system. The model-based inverse problem is solved by minimizing a cost functional using genetic algorithms. The cost functional or discrepancy is defined as the L-2 norm of the difference between experimental and simulated measurements. The latter are obtained by solving the forward problem, using a novel 2D dynamic piezoelectric finite element. The effects of measurement noise and model uncertainties are studied in detail through a sensitivity analysis, where a sensitivity factor is defined and implemented. The proposed inverse problem strategy reconstructs the defect characteristics with sufficient precision, under realistic levels of noise. © 2011 Elsevier Ltd. All rights reserved. The authors would like to thank the Ministerio de Innovacion y Ciencia, Spain, for the FPU Grant AP-2006-02372 and also from Grants Excelencia Junta Andalucia P08-TEP-3641, MCyT DPI 2002-04472-C02-02. Authors would also like to thank Prof. Rafael Gallego for his invaluable contributions to the development of the present work. Rus, G.; Palma, R.; Pérez-Aparicio, JL. (2012). Experimental design of dynamic model-based damage identification in piezoelectric ceramics. Mechanical Systems and Signal Processing. 26:268-293. https://doi.org/10.1016/j.ymssp.2011.06.023