Maio 2014 vol. 1 num. 1 - 10th World Congress on Computational Mechanics

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PIEZO-FIBER COMPOSITE SENSOR TAILORING USING GENETIC ALGO-RITHM

Almeida, A. S. ; Medeiros, R. ; Ribeiro, M. L. ; Tita, V. ; Marques, F.D. ;

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The active aeroelastic control aims the reduction or elimination of harmful fluid-structure interaction effects. More recently, piezo-fiber composites, made from piezoelectric fibers embedded into composites, represent a major technological breakthrough for the manufacture of aerospace intelligent structures. The design and synthesis of intelligent sys-tems requires some effort to assess adequate sensor and actuator positioning and perfor-mance. Typically, sensors location or arrangements have been determined by using optimiza-tion approaches, in order to get the optimal performance in a particular system application. In the smart structures literature, it is usual to find investigations on PZT sensors arrange-ment optimization based on modal responses. Piezo-fiber composites may furnish appropriate framework to enhance sensor effective, in special when composite structures are considered. Moreover, each piezo-fiber composite sensor may be optimized, allowing adjustments of their internal laminate and PZT fibers, thereby reducing the number of required sensors and im-proving their integration to the primary structure. This paper presents an investigation on piezo-fiber composites optimization viewing their application as modal sensors or filtering. In this context, sensor tailoring is suggested by configuring the internal layers. The piezo-fiber composite sensor is assumed with internal layers and an extra embedded PZT fibers. Optimi-zation is performed to each layer direction by exploring a metrics on sensor response in mod-al coordinates for a range in the frequency domain. The finite element modeling is used to represent the dynamics of a uniform plate structure and the piezo-composite. The genetic al-gorithm is considered as optimization tool using modal parameters to achieve a cost function.

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Palavras-chave: structural dynamics, modal filter, piezoelectric, composites, finite element analy-sis, genetic algorithm.,

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DOI: 10.5151/meceng-wccm2012-18527

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Como citar:

Almeida, A. S.; Medeiros, R.; Ribeiro, M. L.; Tita, V.; Marques, F.D.; "PIEZO-FIBER COMPOSITE SENSOR TAILORING USING GENETIC ALGO-RITHM", p. 1722-1736 . In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 2358-0828, DOI 10.5151/meceng-wccm2012-18527

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