EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS

Detalhes bibliográficos
Autor(a) principal: H. H. Silva, Jorge
Data de Publicação: 2017
Outros Autores: T. Fabro, Adriano
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/21618
Resumo: Usually, structures contain inherent variability in geometric and material properties due to the complexity of manufacturing process. This variability, combined with components and subcomponents assemble uncertainties, provide relevant changes in the structure dynamic behavior with respect to the nominal design. Therefore, including those uncertainties in the dynamic analysis provides a wider range of response predictions improving structure reliability and hence reducing costs of design. A stochastic modelling is required to add these variabilities on the solution and probabilistic approaches are commonly used with Finite Element Analysis (FEA) to represent those uncertainties in dynamics analysis, named Stochastic FEA (SFEA). In this work, nominally identical structural components, built-up from beams and plates, are characterized from frequency response function measurements and natural frequencies. Some of their statistics, like histograms and percentiles, are then calculated. Then, some of these nominally identical structures are assembled and the variability of the dynamic response is investigated under the different possible permutations. Results are compared towards the existence of possible permutations leading to decreased or increased variability on the response of the assembly.
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spelling EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTSEnsemble variability. Parameters uncertainties. Stochastic analysis. Structural dynamics.Usually, structures contain inherent variability in geometric and material properties due to the complexity of manufacturing process. This variability, combined with components and subcomponents assemble uncertainties, provide relevant changes in the structure dynamic behavior with respect to the nominal design. Therefore, including those uncertainties in the dynamic analysis provides a wider range of response predictions improving structure reliability and hence reducing costs of design. A stochastic modelling is required to add these variabilities on the solution and probabilistic approaches are commonly used with Finite Element Analysis (FEA) to represent those uncertainties in dynamics analysis, named Stochastic FEA (SFEA). In this work, nominally identical structural components, built-up from beams and plates, are characterized from frequency response function measurements and natural frequencies. Some of their statistics, like histograms and percentiles, are then calculated. Then, some of these nominally identical structures are assembled and the variability of the dynamic response is investigated under the different possible permutations. Results are compared towards the existence of possible permutations leading to decreased or increased variability on the response of the assembly.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/2161810.26512/ripe.v2i16.21618Revista Interdisciplinar de Pesquisa em Engenharia; Vol. 2 No. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 77-89Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 77-892447-6102reponame:Revista Interdisciplinar de Pesquisa em Engenhariainstname:Universidade de Brasília (UnB)instacron:UNBenghttps://periodicos.unb.br/index.php/ripe/article/view/21618/19935Copyright (c) 2019 Revista Interdisciplinar de Pesquisa em Engenharia - RIPEinfo:eu-repo/semantics/openAccessH. H. Silva, JorgeT. Fabro, Adriano2019-06-16T03:06:28Zoai:ojs.pkp.sfu.ca:article/21618Revistahttps://periodicos.unb.br/index.php/ripePUBhttps://periodicos.unb.br/index.php/ripe/oaianflor@unb.br2447-61022447-6102opendoar:2019-06-16T03:06:28Revista Interdisciplinar de Pesquisa em Engenharia - Universidade de Brasília (UnB)false
dc.title.none.fl_str_mv EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
title EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
spellingShingle EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
H. H. Silva, Jorge
Ensemble variability. Parameters uncertainties. Stochastic analysis. Structural dynamics.
title_short EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
title_full EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
title_fullStr EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
title_full_unstemmed EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
title_sort EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
author H. H. Silva, Jorge
author_facet H. H. Silva, Jorge
T. Fabro, Adriano
author_role author
author2 T. Fabro, Adriano
author2_role author
dc.contributor.author.fl_str_mv H. H. Silva, Jorge
T. Fabro, Adriano
dc.subject.por.fl_str_mv Ensemble variability. Parameters uncertainties. Stochastic analysis. Structural dynamics.
topic Ensemble variability. Parameters uncertainties. Stochastic analysis. Structural dynamics.
description Usually, structures contain inherent variability in geometric and material properties due to the complexity of manufacturing process. This variability, combined with components and subcomponents assemble uncertainties, provide relevant changes in the structure dynamic behavior with respect to the nominal design. Therefore, including those uncertainties in the dynamic analysis provides a wider range of response predictions improving structure reliability and hence reducing costs of design. A stochastic modelling is required to add these variabilities on the solution and probabilistic approaches are commonly used with Finite Element Analysis (FEA) to represent those uncertainties in dynamics analysis, named Stochastic FEA (SFEA). In this work, nominally identical structural components, built-up from beams and plates, are characterized from frequency response function measurements and natural frequencies. Some of their statistics, like histograms and percentiles, are then calculated. Then, some of these nominally identical structures are assembled and the variability of the dynamic response is investigated under the different possible permutations. Results are compared towards the existence of possible permutations leading to decreased or increased variability on the response of the assembly.
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/21618
10.26512/ripe.v2i16.21618
url https://periodicos.unb.br/index.php/ripe/article/view/21618
identifier_str_mv 10.26512/ripe.v2i16.21618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.unb.br/index.php/ripe/article/view/21618/19935
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; 77-89
Revista Interdisciplinar de Pesquisa em Engenharia; v. 2 n. 16 (2016): STOCHASTIC MODELING AND UNCERTAINTY QUANTIFICATION; 77-89
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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