Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Latin American journal of solids and structures (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252021000700505 |
Resumo: | Abstract Applying the Covariance-driven Stochastic Subspace Identification method (SSI-COV) involves uncertainties in the numerical process of identifying modal parameters in a system. The main issue is that the method does not compute the uncertainty in the results, which is required in some problems such as outlier detection. Currently, one method is available to assess the uncertainty in modal parameters obtained using the SSI-COV. This method based on the sensitivity analysis of the modal parameters to perturbations in the collected data and is efficient but highly complex for its computational implementation. Thus, this article presents a validation of the uncertainty results obtained with this procedure through the uncertainty limits obtained using the Bootstrap technique. The validation is performed on the modal parameters of a numerical beam-type structure with controlled noise levels and the modal parameters of a concrete block of the Itaipu Hydroelectric Dam. The uncertainty limits obtained using the two methodologies showed similarities in the two examples, which allowed validating the sensitivity analysis procedure. |
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Latin American journal of solids and structures (Online) |
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Validation of the uncertainty bounds on modal parameters identified with the SSI-COV methodUncertaintybootstrapsensitivitymodal parameteridentificationAbstract Applying the Covariance-driven Stochastic Subspace Identification method (SSI-COV) involves uncertainties in the numerical process of identifying modal parameters in a system. The main issue is that the method does not compute the uncertainty in the results, which is required in some problems such as outlier detection. Currently, one method is available to assess the uncertainty in modal parameters obtained using the SSI-COV. This method based on the sensitivity analysis of the modal parameters to perturbations in the collected data and is efficient but highly complex for its computational implementation. Thus, this article presents a validation of the uncertainty results obtained with this procedure through the uncertainty limits obtained using the Bootstrap technique. The validation is performed on the modal parameters of a numerical beam-type structure with controlled noise levels and the modal parameters of a concrete block of the Itaipu Hydroelectric Dam. The uncertainty limits obtained using the two methodologies showed similarities in the two examples, which allowed validating the sensitivity analysis procedure.Associação Brasileira de Ciências Mecânicas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252021000700505Latin American Journal of Solids and Structures v.18 n.7 2021reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/1679-78256725info:eu-repo/semantics/openAccessA.,Yeny V. ArdilaAraújo,Iván D. GómezVillalba-Morales,Jesús D.Aracayo,Luis A.eng2021-10-28T00:00:00Zoai:scielo:S1679-78252021000700505Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2021-10-28T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false |
dc.title.none.fl_str_mv |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
title |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
spellingShingle |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method A.,Yeny V. Ardila Uncertainty bootstrap sensitivity modal parameter identification |
title_short |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
title_full |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
title_fullStr |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
title_full_unstemmed |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
title_sort |
Validation of the uncertainty bounds on modal parameters identified with the SSI-COV method |
author |
A.,Yeny V. Ardila |
author_facet |
A.,Yeny V. Ardila Araújo,Iván D. Gómez Villalba-Morales,Jesús D. Aracayo,Luis A. |
author_role |
author |
author2 |
Araújo,Iván D. Gómez Villalba-Morales,Jesús D. Aracayo,Luis A. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
A.,Yeny V. Ardila Araújo,Iván D. Gómez Villalba-Morales,Jesús D. Aracayo,Luis A. |
dc.subject.por.fl_str_mv |
Uncertainty bootstrap sensitivity modal parameter identification |
topic |
Uncertainty bootstrap sensitivity modal parameter identification |
description |
Abstract Applying the Covariance-driven Stochastic Subspace Identification method (SSI-COV) involves uncertainties in the numerical process of identifying modal parameters in a system. The main issue is that the method does not compute the uncertainty in the results, which is required in some problems such as outlier detection. Currently, one method is available to assess the uncertainty in modal parameters obtained using the SSI-COV. This method based on the sensitivity analysis of the modal parameters to perturbations in the collected data and is efficient but highly complex for its computational implementation. Thus, this article presents a validation of the uncertainty results obtained with this procedure through the uncertainty limits obtained using the Bootstrap technique. The validation is performed on the modal parameters of a numerical beam-type structure with controlled noise levels and the modal parameters of a concrete block of the Itaipu Hydroelectric Dam. The uncertainty limits obtained using the two methodologies showed similarities in the two examples, which allowed validating the sensitivity analysis procedure. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252021000700505 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252021000700505 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1679-78256725 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
dc.source.none.fl_str_mv |
Latin American Journal of Solids and Structures v.18 n.7 2021 reponame:Latin American journal of solids and structures (Online) instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) instacron:ABCM |
instname_str |
Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
instacron_str |
ABCM |
institution |
ABCM |
reponame_str |
Latin American journal of solids and structures (Online) |
collection |
Latin American journal of solids and structures (Online) |
repository.name.fl_str_mv |
Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
repository.mail.fl_str_mv |
abcm@abcm.org.br||maralves@usp.br |
_version_ |
1754302890826006528 |