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. doi:10.1016/j.ymssp.2011.06.023
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/99442
Title:
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Experimental design of dynamic model-based damage identification in piezoelectric ceramics
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Author:
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Rus, Guillermo
Palma, Roberto
Pérez-Aparicio, José L.
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UPV Unit:
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Universitat Politècnica de València. Departamento de Mecánica de los Medios Continuos y Teoría de Estructuras - Departament de Mecànica dels Medis Continus i Teoria d'Estructures
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Issued date:
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Abstract:
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[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 ...[+]
[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.
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Subjects:
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Damage identification
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Finite element method
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Genetic algorithms
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Inverse problem
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Piezoelectrics
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Cost functionals
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Damage characterization
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Electromechanical response
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Finite Element
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Forward problem
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Input datas
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Measurement Noise
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Model uncertainties
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Numerical models
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Piezoelectric response
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Sensitivity factors
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Inverse problems
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Piezoelectric ceramics
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Piezoelectricity
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Sensitivity analysis
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Uncertainty analysis
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Damage detection
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Source:
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Mechanical Systems and Signal Processing. (issn:
0888-3270
)
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DOI:
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10.1016/j.ymssp.2011.06.023
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Publisher:
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ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
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Publisher version:
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http://doi.org/10.1016/j.ymssp.2011.06.023
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Project ID:
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MCYT/DPI 2002-04472-C02-02
MEC/FPU/AP-2006-02372
Junta Andalucía/P08-TEP-3641
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Thanks:
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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 ...[+]
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.
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Type:
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Artículo
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