Multi-objective optimization for vibration suppression of smart laminated composites

The present paper proposes a multi-objective optimization technique for smart laminated composites to maximize two conflicting objectives. The first objective is the performance of active vibration control of smart composite with piezoelectric (PZT) actuators. The second is the fundamental frequency...

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Autores principales: Shinya HONDA, Yoshihiro NARITA, Itsuro KAJIWARA
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Lenguaje:EN
Publicado: The Japan Society of Mechanical Engineers 2016
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Acceso en línea:https://doaj.org/article/e41062feae244de8b886f862e137db8f
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spelling oai:doaj.org-article:e41062feae244de8b886f862e137db8f2021-11-26T06:35:12ZMulti-objective optimization for vibration suppression of smart laminated composites2187-974510.1299/mej.14-00561https://doaj.org/article/e41062feae244de8b886f862e137db8f2016-01-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/1/3_14-00561/_pdf/-char/enhttps://doaj.org/toc/2187-9745The present paper proposes a multi-objective optimization technique for smart laminated composites to maximize two conflicting objectives. The first objective is the performance of active vibration control of smart composite with piezoelectric (PZT) actuators. The second is the fundamental frequency of smart structures related to the performance of passive vibration control. Both performances of active and passive vibration control are maximized simultaneously. The vibration suppression of smart structures strongly depends on both actuator placements and vibration mode shapes. It is possible to design vibration mode shapes for laminated fibrous composites since their anisotropy for whole thickness is tailorable by arranging fiber orientation angle in each layer. This allows the smart structure with laminated composite to archive higher performance of vibration suppression than those with isotropic materials. However, the optimized structure results in lower natural frequencies than composites with typical fiber orientation angles since an effective input of control force from actuators is realized for the structure with lower stiffness. This reveals that there is a trade-off relation for smart composite structures between the performance of active vibration suppression and natural frequencies. To disclose this relation, the present study applies the effective multi-objective optimization technique, the refined non-dominated genetic algorithm (NSGAII), and obtains Pareto optimal solutions. Calculated results are successfully validated by a comparison with those from the real-time control experiment where a laser excitation technique which is effective to small sized structures is used.Shinya HONDAYoshihiro NARITAItsuro KAJIWARAThe Japan Society of Mechanical Engineersarticlesmart structurelaminated compositemulti-objective optimizationvibration controllaser excitationMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 1, Pp 14-00561-14-00561 (2016)
institution DOAJ
collection DOAJ
language EN
topic smart structure
laminated composite
multi-objective optimization
vibration control
laser excitation
Mechanical engineering and machinery
TJ1-1570
spellingShingle smart structure
laminated composite
multi-objective optimization
vibration control
laser excitation
Mechanical engineering and machinery
TJ1-1570
Shinya HONDA
Yoshihiro NARITA
Itsuro KAJIWARA
Multi-objective optimization for vibration suppression of smart laminated composites
description The present paper proposes a multi-objective optimization technique for smart laminated composites to maximize two conflicting objectives. The first objective is the performance of active vibration control of smart composite with piezoelectric (PZT) actuators. The second is the fundamental frequency of smart structures related to the performance of passive vibration control. Both performances of active and passive vibration control are maximized simultaneously. The vibration suppression of smart structures strongly depends on both actuator placements and vibration mode shapes. It is possible to design vibration mode shapes for laminated fibrous composites since their anisotropy for whole thickness is tailorable by arranging fiber orientation angle in each layer. This allows the smart structure with laminated composite to archive higher performance of vibration suppression than those with isotropic materials. However, the optimized structure results in lower natural frequencies than composites with typical fiber orientation angles since an effective input of control force from actuators is realized for the structure with lower stiffness. This reveals that there is a trade-off relation for smart composite structures between the performance of active vibration suppression and natural frequencies. To disclose this relation, the present study applies the effective multi-objective optimization technique, the refined non-dominated genetic algorithm (NSGAII), and obtains Pareto optimal solutions. Calculated results are successfully validated by a comparison with those from the real-time control experiment where a laser excitation technique which is effective to small sized structures is used.
format article
author Shinya HONDA
Yoshihiro NARITA
Itsuro KAJIWARA
author_facet Shinya HONDA
Yoshihiro NARITA
Itsuro KAJIWARA
author_sort Shinya HONDA
title Multi-objective optimization for vibration suppression of smart laminated composites
title_short Multi-objective optimization for vibration suppression of smart laminated composites
title_full Multi-objective optimization for vibration suppression of smart laminated composites
title_fullStr Multi-objective optimization for vibration suppression of smart laminated composites
title_full_unstemmed Multi-objective optimization for vibration suppression of smart laminated composites
title_sort multi-objective optimization for vibration suppression of smart laminated composites
publisher The Japan Society of Mechanical Engineers
publishDate 2016
url https://doaj.org/article/e41062feae244de8b886f862e137db8f
work_keys_str_mv AT shinyahonda multiobjectiveoptimizationforvibrationsuppressionofsmartlaminatedcomposites
AT yoshihironarita multiobjectiveoptimizationforvibrationsuppressionofsmartlaminatedcomposites
AT itsurokajiwara multiobjectiveoptimizationforvibrationsuppressionofsmartlaminatedcomposites
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