NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL

Detalhes bibliográficos
Autor(a) principal: Costa, Tatiane Nunes da
Data de Publicação: 2017
Outros Autores: Gonçalves, Daniel Ferreira, Borges, Romes Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Interdisciplinar de Pesquisa em Engenharia
Texto Completo: https://periodicos.unb.br/index.php/ripe/article/view/21617
Resumo: Rotating machines are extensively used in industrial applications considering the flexibility of the equipment, capable of being operated at extreme speeds, the study of  uncertainties are required, due the influence in the dynamic behavior. The use of stochastic techniques have played an important function in engineering problems, the Monte Carlo method (MC) and your variant called Latin Hypercube (LHS) are widely used to model u ncertain parameters. In this context, the present work is devoted to analysis of the uncertainties in the parameters of a flexible rotor discretized by finite element (FE). Aiming a considerable saving of time, models reduced by Iterative Improved Reduction System (IIRS) method were used in the numerical analysis process. The analysis procedure is limited to the frequency domain. Solution envelopes are obtained by LHS method that allow us to describe the system behavior considering some parameters as random.
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spelling NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODELRotating machines. Model reduced. Latin Hypercube method. Uncertainty analysis.Rotating machines are extensively used in industrial applications considering the flexibility of the equipment, capable of being operated at extreme speeds, the study of  uncertainties are required, due the influence in the dynamic behavior. The use of stochastic techniques have played an important function in engineering problems, the Monte Carlo method (MC) and your variant called Latin Hypercube (LHS) are widely used to model u ncertain parameters. In this context, the present work is devoted to analysis of the uncertainties in the parameters of a flexible rotor discretized by finite element (FE). Aiming a considerable saving of time, models reduced by Iterative Improved Reduction System (IIRS) method were used in the numerical analysis process. The analysis procedure is limited to the frequency domain. Solution envelopes are obtained by LHS method that allow us to describe the system behavior considering some parameters as random.Programa de Pós-Graduação em Integridade de Materiais da Engenharia2017-01-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.unb.br/index.php/ripe/article/view/2161710.26512/ripe.v2i16.21617Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 60-76Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 60-762447-6102reponame:Revista Interdisciplinar de Pesquisa em Engenhariainstname:Universidade de Brasília (UnB)instacron:UNBenghttps://periodicos.unb.br/index.php/ripe/article/view/21617/19934Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPEinfo:eu-repo/semantics/openAccessCosta, Tatiane Nunes daGonçalves, Daniel FerreiraBorges, Romes Antonio2019-06-16T03:04:35Zoai:ojs.pkp.sfu.ca:article/21617Revistahttps://periodicos.unb.br/index.php/ripePUBhttps://periodicos.unb.br/index.php/ripe/oaianflor@unb.br2447-61022447-6102opendoar:2019-06-16T03:04:35Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)false
dc.title.none.fl_str_mv NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
title NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
spellingShingle NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
Costa, Tatiane Nunes da
Rotating machines. Model reduced. Latin Hypercube method. Uncertainty analysis.
title_short NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
title_full NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
title_fullStr NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
title_full_unstemmed NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
title_sort NUMERICAL EVALUATION OF THE EFFECT OF UNCERTAINTIES IN ROTATING MACHINERY USING REDUCED MODEL
author Costa, Tatiane Nunes da
author_facet Costa, Tatiane Nunes da
Gonçalves, Daniel Ferreira
Borges, Romes Antonio
author_role author
author2 Gonçalves, Daniel Ferreira
Borges, Romes Antonio
author2_role author
author
dc.contributor.author.fl_str_mv Costa, Tatiane Nunes da
Gonçalves, Daniel Ferreira
Borges, Romes Antonio
dc.subject.por.fl_str_mv Rotating machines. Model reduced. Latin Hypercube method. Uncertainty analysis.
topic Rotating machines. Model reduced. Latin Hypercube method. Uncertainty analysis.
description Rotating machines are extensively used in industrial applications considering the flexibility of the equipment, capable of being operated at extreme speeds, the study of  uncertainties are required, due the influence in the dynamic behavior. The use of stochastic techniques have played an important function in engineering problems, the Monte Carlo method (MC) and your variant called Latin Hypercube (LHS) are widely used to model u ncertain parameters. In this context, the present work is devoted to analysis of the uncertainties in the parameters of a flexible rotor discretized by finite element (FE). Aiming a considerable saving of time, models reduced by Iterative Improved Reduction System (IIRS) method were used in the numerical analysis process. The analysis procedure is limited to the frequency domain. Solution envelopes are obtained by LHS method that allow us to describe the system behavior considering some parameters as random.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/21617
10.26512/ripe.v2i16.21617
url https://periodicos.unb.br/index.php/ripe/article/view/21617
identifier_str_mv 10.26512/ripe.v2i16.21617
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/21617/19934
dc.rights.driver.fl_str_mv Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
publisher.none.fl_str_mv Programa de Pós-Graduação em Integridade de Materiais da Engenharia
dc.source.none.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 60-76
Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 60-76
2447-6102
reponame:Revista Interdisciplinar de Pesquisa em Engenharia
instname:Universidade de Brasília (UnB)
instacron:UNB
instname_str Universidade de Brasília (UnB)
instacron_str UNB
institution UNB
reponame_str Revista Interdisciplinar de Pesquisa em Engenharia
collection Revista Interdisciplinar de Pesquisa em Engenharia
repository.name.fl_str_mv Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)
repository.mail.fl_str_mv anflor@unb.br
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