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Electromechanical Admittance -- Based Damage Identification Using Box-Behnken Design of Experiments

C.P. Providakis1, M.E. Voutetaki

1 Technical University of Crete, Greece

Structural Durability & Health Monitoring 2007, 3(4), 211-228. https://doi.org/10.3970/sdhm.2007.003.211

Abstract

Piezoceramic transducers have emerged as new tools for the health monitoring of large-scale structures due to their advantages of active sensing, low cost, quick response, availability in different shapes, and simplicity for implementations. In the present paper, a statistical metamodeling utilization of electro-mechanical (E/M) admittance approach by applying piezoelectric materials to the damage identification is investigated. A response surface metamodel is constructed by empirically fitting a model to a set of design points chosen using a Box-Behnken design of experiment (simulation) technique. This empirical fit allows polynomial models to be produced for relating damage parameter such that stiffness reduction to the electromechanical admittance signature generated at piezoelectric sensors at specific frequency ranges. Then, an analytical study based on finite element models is carried out to verify the validity of the present numerical metamodeling technique.

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APA Style
Providakis, C., Voutetaki, M. (2007). Electromechanical admittance -- based damage identification using box-behnken design of experiments. Structural Durability & Health Monitoring, 3(4), 211-228. https://doi.org/10.3970/sdhm.2007.003.211
Vancouver Style
Providakis C, Voutetaki M. Electromechanical admittance -- based damage identification using box-behnken design of experiments. Structural Durability Health Monit . 2007;3(4):211-228 https://doi.org/10.3970/sdhm.2007.003.211
IEEE Style
C. Providakis and M. Voutetaki, “Electromechanical Admittance -- Based Damage Identification Using Box-Behnken Design of Experiments,” Structural Durability Health Monit. , vol. 3, no. 4, pp. 211-228, 2007. https://doi.org/10.3970/sdhm.2007.003.211



cc Copyright © 2007 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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