Piezoelectric sensor location by the observability Gramian maximization using topology optimization
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/223451 |
Resumo: | Thiswork presents an optimal design methodology for piezoelectricmaterial positioning in structures aiming at vibration measurements. The main objective is to find the optimal location of piezoelectric sensors using a suitable topology optimization strategy. The sensors location is determined by an optimization formulation that defines where the material should have piezoelectric properties. The objective of the optimization is maximizing observability, measured by means of the trace of the Gramian matrix. The control strategy development is based on a truncated modal system model. A case study and its results are presented and discussed, showing that the optimal placement of the piezoelectric sensors in a cantilever beam can be suitably achieved through the proposed approach. |
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Menuzzi, OdairFonseca, Jun Sergio OnoPerondi, Eduardo AndréGonçalves, Juliano FagundesPadoin, EduardoSilveira, Otavio Augusto Alves da2021-07-09T04:33:43Z20180101-8205http://hdl.handle.net/10183/223451001090069Thiswork presents an optimal design methodology for piezoelectricmaterial positioning in structures aiming at vibration measurements. The main objective is to find the optimal location of piezoelectric sensors using a suitable topology optimization strategy. The sensors location is determined by an optimization formulation that defines where the material should have piezoelectric properties. The objective of the optimization is maximizing observability, measured by means of the trace of the Gramian matrix. The control strategy development is based on a truncated modal system model. A case study and its results are presented and discussed, showing that the optimal placement of the piezoelectric sensors in a cantilever beam can be suitably achieved through the proposed approach.application/pdfengMatemática aplicada e computacional. Rio de Janeiro. Vol. 37, suppl. 1 (2018), p. S237-S252Sensores piezoelétricosVibrações estruturaisSensor placementObservability GramianTopology optimizationPiezoelectric materialPiezoelectric sensor location by the observability Gramian maximization using topology optimizationinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001090069.pdf.txt001090069.pdf.txtExtracted Texttext/plain35321http://www.lume.ufrgs.br/bitstream/10183/223451/2/001090069.pdf.txt929ffd76aa2c4fb22db9360d41771479MD52ORIGINAL001090069.pdfTexto completo (inglês)application/pdf5447114http://www.lume.ufrgs.br/bitstream/10183/223451/1/001090069.pdfe120d4cc81423eed990752c6a5e9b243MD5110183/2234512023-06-04 03:28:56.009952oai:www.lume.ufrgs.br:10183/223451Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-06-04T06:28:56Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
title |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
spellingShingle |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization Menuzzi, Odair Sensores piezoelétricos Vibrações estruturais Sensor placement Observability Gramian Topology optimization Piezoelectric material |
title_short |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
title_full |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
title_fullStr |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
title_full_unstemmed |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
title_sort |
Piezoelectric sensor location by the observability Gramian maximization using topology optimization |
author |
Menuzzi, Odair |
author_facet |
Menuzzi, Odair Fonseca, Jun Sergio Ono Perondi, Eduardo André Gonçalves, Juliano Fagundes Padoin, Eduardo Silveira, Otavio Augusto Alves da |
author_role |
author |
author2 |
Fonseca, Jun Sergio Ono Perondi, Eduardo André Gonçalves, Juliano Fagundes Padoin, Eduardo Silveira, Otavio Augusto Alves da |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Menuzzi, Odair Fonseca, Jun Sergio Ono Perondi, Eduardo André Gonçalves, Juliano Fagundes Padoin, Eduardo Silveira, Otavio Augusto Alves da |
dc.subject.por.fl_str_mv |
Sensores piezoelétricos Vibrações estruturais |
topic |
Sensores piezoelétricos Vibrações estruturais Sensor placement Observability Gramian Topology optimization Piezoelectric material |
dc.subject.eng.fl_str_mv |
Sensor placement Observability Gramian Topology optimization Piezoelectric material |
description |
Thiswork presents an optimal design methodology for piezoelectricmaterial positioning in structures aiming at vibration measurements. The main objective is to find the optimal location of piezoelectric sensors using a suitable topology optimization strategy. The sensors location is determined by an optimization formulation that defines where the material should have piezoelectric properties. The objective of the optimization is maximizing observability, measured by means of the trace of the Gramian matrix. The control strategy development is based on a truncated modal system model. A case study and its results are presented and discussed, showing that the optimal placement of the piezoelectric sensors in a cantilever beam can be suitably achieved through the proposed approach. |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2021-07-09T04:33:43Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/223451 |
dc.identifier.issn.pt_BR.fl_str_mv |
0101-8205 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001090069 |
identifier_str_mv |
0101-8205 001090069 |
url |
http://hdl.handle.net/10183/223451 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Matemática aplicada e computacional. Rio de Janeiro. Vol. 37, suppl. 1 (2018), p. S237-S252 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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UFRGS |
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UFRGS |
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Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
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