EXPERIMENTAL INVESTIGATION ON THE VARIABILITY OF THE DYNAMIC RESPONSE OF ASSEMBLIES OF NOMINALLY IDENTICAL COMPONENTS
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Data de Publicação: | 2017 |
Outros Autores: | |
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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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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1798315226564657152 |