Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/12723 |
Resumo: | Wind turbines suffer severe damage due to excessive wind loads or inadequate maintenance conditions, and catastrophic failures often occur causing huge losses. A structure, such as a wind turbine, can be monitored and evaluated through its modal characteristics, where natural frequencies, for example, are characteristics that are independent of operating conditions. They change only in case of damage, i.e. when stiffness and mass change. However, for the application of modal analysis, several sensors distributed in the structure are required, which involves high instrumentation costs. In view of this, it is proposed the use of modal analysis techniques integrated with virtual sensors, which, unlike real/physical sensors, are obtained through models. In this work, the virtual sensors are determined by using an artificial intelligence of the neural network type, which together with the modal analysis allows to obtain the modal characteristics: natural frequencies, modal shapes and damping. For this purpose, it is proposed to study a fixed Euler Bernoulli beam, an approximation model of a wind turbine, where the flow loads are generated through a wind tunnel with a speed controller. The flow velocities analyzed over the beam ranged from 10 to 20 m/s. The virtual sensor for operational modal analysis was modeled using a dynamic neural network where configurations of delay number and number of neurons in the hidden layer were investigated. In sequence, the modal characteristics of the Euler Bernoulli beam are compared using experimental modal analysis, situation in which the input is known and measured, and operational modal analysis, configuration where the input is unknown and not measured. For comparative analysis, the natural frequencies obtained in the different configurations and modal techniques showed good results when compared with the values of the Euler Bernoulli beam. For the modes, the Modal Assurance Criterion (MAC) was used, where when analyzing each independent result, the MAC returns excellent modal results, but when performing a comparative analysis of the different configurations and techniques, the MAC showed low correlation. Finally, the damping ratio showed an increase for higher flow velocities, but further investigations should be carried out in future works using other operational modal analysis techniques. |
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Fagundes Neto, Marlipe Garciahttp://lattes.cnpq.br/6303674803792521Kitatani Junior, Sigeohttp://lattes.cnpq.br/9419723461067210Fagundes Neto, Marlipe GarciaPena, José Luiz OliveiraColherinhas, Gino BertollucciKitatani Júnior, Sigeohttps://lattes.cnpq.br/2475910292073528Rodrigues, Pedro Augusto Dias2023-04-03T15:18:47Z2023-04-03T15:18:47Z2023-02-04RODRIGUES, P. A. D. Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento. 2023. 102 f. Dissertação (Mestrado em Engenharia Mecânica) - Universidade Federal de Goiás, Goiânia, 2023.http://repositorio.bc.ufg.br/tede/handle/tede/12723ark:/38995/0013000004kpmWind turbines suffer severe damage due to excessive wind loads or inadequate maintenance conditions, and catastrophic failures often occur causing huge losses. A structure, such as a wind turbine, can be monitored and evaluated through its modal characteristics, where natural frequencies, for example, are characteristics that are independent of operating conditions. They change only in case of damage, i.e. when stiffness and mass change. However, for the application of modal analysis, several sensors distributed in the structure are required, which involves high instrumentation costs. In view of this, it is proposed the use of modal analysis techniques integrated with virtual sensors, which, unlike real/physical sensors, are obtained through models. In this work, the virtual sensors are determined by using an artificial intelligence of the neural network type, which together with the modal analysis allows to obtain the modal characteristics: natural frequencies, modal shapes and damping. For this purpose, it is proposed to study a fixed Euler Bernoulli beam, an approximation model of a wind turbine, where the flow loads are generated through a wind tunnel with a speed controller. The flow velocities analyzed over the beam ranged from 10 to 20 m/s. The virtual sensor for operational modal analysis was modeled using a dynamic neural network where configurations of delay number and number of neurons in the hidden layer were investigated. In sequence, the modal characteristics of the Euler Bernoulli beam are compared using experimental modal analysis, situation in which the input is known and measured, and operational modal analysis, configuration where the input is unknown and not measured. For comparative analysis, the natural frequencies obtained in the different configurations and modal techniques showed good results when compared with the values of the Euler Bernoulli beam. For the modes, the Modal Assurance Criterion (MAC) was used, where when analyzing each independent result, the MAC returns excellent modal results, but when performing a comparative analysis of the different configurations and techniques, the MAC showed low correlation. Finally, the damping ratio showed an increase for higher flow velocities, but further investigations should be carried out in future works using other operational modal analysis techniques.Os aerogeradores sofrem danos severos devido à carga de vento excessivas ou condições de manutenção inadequadas, e muitas vezes ocorrem falhas catastróficas causando prejuízos enormes. Uma estrutura, como o aerogerador, pode ser monitorada e avaliada por meio de suas características modais, onde as frequências naturais, por exemplo, são características que independem das condições de operação. Elas sofrem alterações somente em caso de danos, isto é, quando a rigidez e a massa sofrem alterações. No entanto, para aplicação da análise modal são necessários vários sensores distribuídos na estrutura, o que envolve custos elevados de instrumentação. Diante disso, é proposto a utilização de técnicas de análise modal integradas a sensores virtuais, que diferente dos sensores reais/físicos são obtidos por meio de modelos. Neste trabalho, os sensores virtuais são determinados por utilização de uma inteligência artificial do tipo rede neural, que em conjunto com a análise modal permite obter as características modais: frequências naturais, formas modais e amortecimento. Para tanto, propõe-se estudar uma viga de Euler Bernoulli engastada, modelo de aproximação de um aerogerador, onde as cargas de escoamento são geradas por meio de um túnel de vento com controlador de velocidade. As velocidades de escoamento analisadas sobre a viga foram de 10 a 20 m/s. O sensor virtual para análise modal operacional foi modelado utilizando rede neural dinâmica onde foram investigadas configurações de número de atraso e número de neurônios na camada oculta. Em sequência, são comparadas as características modais da viga de Euler Bernoulli utilizando análise modal experimental, situação em que a entrada em conhecida e mensurada, e análise modal operacional, configuração onde a entrada é desconhecida e não mensurada. Para análise comparativa, as frequências naturais obtidas nas diferentes configurações e técnicas modais apresentaram bons resultados ao comparar com os valores da viga de Euler Bernoulli. Para as formas modas utilizou-se o critério Modal assurance criterion (MAC), onde ao analisar cada resultado independente o MAC retorna excelentes resultados modais, porém ao realizar uma análise comparativa das diferentes configurações e técnicas o MAC apresentou baixa correlação. Por fim, a razão de amortecimento apresentou um aumento para maiores velocidades de escoamento, mas maiores investigações devem ser realizadas em trabalhos futuros utilizando outras técnicas de análise modal operacional.Submitted by Dayane Basílio (dayanebasilio@ufg.br) on 2023-03-30T14:46:54Z No. of bitstreams: 2 Dissertação - Pedro Augusto Dias Rodrigues - 2023.pdf: 4447804 bytes, checksum: 8c6c95e366a0799accde019d7ee238cc (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2023-04-03T15:18:47Z (GMT) No. of bitstreams: 2 Dissertação - Pedro Augusto Dias Rodrigues - 2023.pdf: 4447804 bytes, checksum: 8c6c95e366a0799accde019d7ee238cc (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2023-04-03T15:18:47Z (GMT). No. of bitstreams: 2 Dissertação - Pedro Augusto Dias Rodrigues - 2023.pdf: 4447804 bytes, checksum: 8c6c95e366a0799accde019d7ee238cc (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2023-02-04porUniversidade Federal de GoiásPrograma de Pós-graduação em Engenharia MecânicaUFGBrasilEscola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessRede neuralTúnel de ventoViga de Euler BernoulliAnálise modalNeural networkWind tunnelEuler Bernoulli beammodal analysisENGENHARIAS::ENGENHARIA MECANICA::ENGENHARIA TERMICAUtilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de ventoUse of artificial intelligence for modal analysis of a craned beam under flow in a wind tunnelinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis465005005004443reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/b72a72be-8e13-420a-9b40-9f2631d48e73/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/f72ac8e1-eab8-4b1c-a081-8cbd91fc40ad/download4460e5956bc1d1639be9ae6146a50347MD52ORIGINALDissertação - Pedro Augusto Dias Rodrigues - 2023.pdfDissertação - Pedro Augusto Dias Rodrigues - 2023.pdfapplication/pdf4447804http://repositorio.bc.ufg.br/tede/bitstreams/5bd0a875-32b3-407c-8251-5d9c32818176/download8c6c95e366a0799accde019d7ee238ccMD53tede/127232023-04-03 12:18:48.032http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/12723http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2023-04-03T15:18:48Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)falseTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo= |
dc.title.pt_BR.fl_str_mv |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
dc.title.alternative.eng.fl_str_mv |
Use of artificial intelligence for modal analysis of a craned beam under flow in a wind tunnel |
title |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
spellingShingle |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento Rodrigues, Pedro Augusto Dias Rede neural Túnel de vento Viga de Euler Bernoulli Análise modal Neural network Wind tunnel Euler Bernoulli beam modal analysis ENGENHARIAS::ENGENHARIA MECANICA::ENGENHARIA TERMICA |
title_short |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
title_full |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
title_fullStr |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
title_full_unstemmed |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
title_sort |
Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento |
author |
Rodrigues, Pedro Augusto Dias |
author_facet |
Rodrigues, Pedro Augusto Dias |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Fagundes Neto, Marlipe Garcia |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/6303674803792521 |
dc.contributor.advisor-co1.fl_str_mv |
Kitatani Junior, Sigeo |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/9419723461067210 |
dc.contributor.referee1.fl_str_mv |
Fagundes Neto, Marlipe Garcia |
dc.contributor.referee2.fl_str_mv |
Pena, José Luiz Oliveira |
dc.contributor.referee3.fl_str_mv |
Colherinhas, Gino Bertollucci |
dc.contributor.referee4.fl_str_mv |
Kitatani Júnior, Sigeo |
dc.contributor.authorLattes.fl_str_mv |
https://lattes.cnpq.br/2475910292073528 |
dc.contributor.author.fl_str_mv |
Rodrigues, Pedro Augusto Dias |
contributor_str_mv |
Fagundes Neto, Marlipe Garcia Kitatani Junior, Sigeo Fagundes Neto, Marlipe Garcia Pena, José Luiz Oliveira Colherinhas, Gino Bertollucci Kitatani Júnior, Sigeo |
dc.subject.por.fl_str_mv |
Rede neural Túnel de vento Viga de Euler Bernoulli Análise modal |
topic |
Rede neural Túnel de vento Viga de Euler Bernoulli Análise modal Neural network Wind tunnel Euler Bernoulli beam modal analysis ENGENHARIAS::ENGENHARIA MECANICA::ENGENHARIA TERMICA |
dc.subject.eng.fl_str_mv |
Neural network Wind tunnel Euler Bernoulli beam modal analysis |
dc.subject.cnpq.fl_str_mv |
ENGENHARIAS::ENGENHARIA MECANICA::ENGENHARIA TERMICA |
description |
Wind turbines suffer severe damage due to excessive wind loads or inadequate maintenance conditions, and catastrophic failures often occur causing huge losses. A structure, such as a wind turbine, can be monitored and evaluated through its modal characteristics, where natural frequencies, for example, are characteristics that are independent of operating conditions. They change only in case of damage, i.e. when stiffness and mass change. However, for the application of modal analysis, several sensors distributed in the structure are required, which involves high instrumentation costs. In view of this, it is proposed the use of modal analysis techniques integrated with virtual sensors, which, unlike real/physical sensors, are obtained through models. In this work, the virtual sensors are determined by using an artificial intelligence of the neural network type, which together with the modal analysis allows to obtain the modal characteristics: natural frequencies, modal shapes and damping. For this purpose, it is proposed to study a fixed Euler Bernoulli beam, an approximation model of a wind turbine, where the flow loads are generated through a wind tunnel with a speed controller. The flow velocities analyzed over the beam ranged from 10 to 20 m/s. The virtual sensor for operational modal analysis was modeled using a dynamic neural network where configurations of delay number and number of neurons in the hidden layer were investigated. In sequence, the modal characteristics of the Euler Bernoulli beam are compared using experimental modal analysis, situation in which the input is known and measured, and operational modal analysis, configuration where the input is unknown and not measured. For comparative analysis, the natural frequencies obtained in the different configurations and modal techniques showed good results when compared with the values of the Euler Bernoulli beam. For the modes, the Modal Assurance Criterion (MAC) was used, where when analyzing each independent result, the MAC returns excellent modal results, but when performing a comparative analysis of the different configurations and techniques, the MAC showed low correlation. Finally, the damping ratio showed an increase for higher flow velocities, but further investigations should be carried out in future works using other operational modal analysis techniques. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-04-03T15:18:47Z |
dc.date.available.fl_str_mv |
2023-04-03T15:18:47Z |
dc.date.issued.fl_str_mv |
2023-02-04 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
RODRIGUES, P. A. D. Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento. 2023. 102 f. Dissertação (Mestrado em Engenharia Mecânica) - Universidade Federal de Goiás, Goiânia, 2023. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/12723 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000004kpm |
identifier_str_mv |
RODRIGUES, P. A. D. Utilização de inteligência artificial para análise modal de uma viga engastada sob escoamento em túnel de vento. 2023. 102 f. Dissertação (Mestrado em Engenharia Mecânica) - Universidade Federal de Goiás, Goiânia, 2023. ark:/38995/0013000004kpm |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/12723 |
dc.language.iso.fl_str_mv |
por |
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por |
dc.relation.program.fl_str_mv |
46 |
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500 500 500 |
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dc.relation.cnpq.fl_str_mv |
443 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Engenharia Mecânica |
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UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Engenharia Elétrica, Mecânica e de Computação - EMC (RMG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
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