Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods

The objective of this study is to identify the operational modal parameters of a six-story reinforcedconcrete frame building. This is done through roving sensor instrumentation technique while comparingthe two main variations of the stochastic subspace identification method: covariance-based (SSI-CO...

ver descrição completa

Detalhes bibliográficos
Autores: Liu Kuan, Yi Cheng, Esquivel-Salas, Luis Carlos
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2024
País:Costa Rica
Recursos:Universidad de Costa Rica
Repositório:Portal de Revistas UCR
Idioma:espanhol
OAI Identifier:oai:portal.ucr.ac.cr:article/58127
Acesso em linha:https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127
Access Level:Acceso aberto
Palavra-chave:Ambient vibrations,
buildings
operational modal analysis,
stochastic subspace identification,
structural dynamics.
Análisis modal operacional
dinámica de estructuras
edificio
identificación subespacial estocástica
vibraciones ambientales
id CR_8a7ebee17991e9d97dd3de4789610583
oai_identifier_str oai:portal.ucr.ac.cr:article/58127
network_acronym_str CR
network_name_str Costa Rica
repository_id_str
dc.title.none.fl_str_mv Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
Análisis modal operacional de un edificio de concreto reforzado mediante métodos subespaciales estocásticos
title Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
spellingShingle Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
Liu Kuan, Yi Cheng
Ambient vibrations,
buildings
operational modal analysis,
stochastic subspace identification,
structural dynamics.
Análisis modal operacional
dinámica de estructuras
edificio
identificación subespacial estocástica
vibraciones ambientales
title_short Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
title_full Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
title_fullStr Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
title_full_unstemmed Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
title_sort Español Operational modal analysis of a reinforced concrete building using stochastic subspace methods
dc.creator.none.fl_str_mv Liu Kuan, Yi Cheng
Esquivel-Salas, Luis Carlos
author Liu Kuan, Yi Cheng
author_facet Liu Kuan, Yi Cheng
Esquivel-Salas, Luis Carlos
author_role author
author2 Esquivel-Salas, Luis Carlos
author2_role author
dc.subject.none.fl_str_mv Ambient vibrations,
buildings
operational modal analysis,
stochastic subspace identification,
structural dynamics.
Análisis modal operacional
dinámica de estructuras
edificio
identificación subespacial estocástica
vibraciones ambientales
topic Ambient vibrations,
buildings
operational modal analysis,
stochastic subspace identification,
structural dynamics.
Análisis modal operacional
dinámica de estructuras
edificio
identificación subespacial estocástica
vibraciones ambientales
description The objective of this study is to identify the operational modal parameters of a six-story reinforcedconcrete frame building. This is done through roving sensor instrumentation technique while comparingthe two main variations of the stochastic subspace identification method: covariance-based (SSI-COV)and data-based (SSI-DATA) The experimentation is executed in order to contrast their effectiveness toidentify the dynamic system of concrete buildings from ambient vibration tests.The instrumentation of the building was carried out with four triaxial strong motion accelerographs.One stayed fixed on the top floor as a reference node for modal shape merging. The other three were movedfrom floor to floor to recover the operational modal shapes throughout the building at the observationpoints. This resulted in a total of six test configurations that lasted 20 min each.A total of nine modes were identified with the SSI-COV method, with successful merging andrecovering of their complete modal shapes. However, modes could not be identified correctly with SSIDATA,for data collected on the lower floors, so it was not possible to recover the complete mode shapesof the building. In this case, it is concluded that SSI-COV has better capacity for modal identificationfrom ambient vibrations collected via roving accelerographs in buildings.
publishDate 2024
dc.date.none.fl_str_mv 2024-05-21
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
Article
Artículo
artículo original
http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127
10.15517/ri.v34i2.58127
url https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127
identifier_str_mv 10.15517/ri.v34i2.58127
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59966
https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59967
https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59970
dc.rights.none.fl_str_mv Derechos de autor 2024 Yi Cheng Liu Kuan, Luis Carlos Esquivel-Salas
https://creativecommons.org/licenses/by-nc-sa/4.0
acceso abierto
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2024 Yi Cheng Liu Kuan, Luis Carlos Esquivel-Salas
https://creativecommons.org/licenses/by-nc-sa/4.0
acceso abierto
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/epub+zip
text/html
dc.publisher.none.fl_str_mv Universidad de Costa Rica
publisher.none.fl_str_mv Universidad de Costa Rica
dc.source.none.fl_str_mv Ingeniería; Vol. 34 No. 2 (2024): July - December (open issue); 38-53
Ingeniería; Vol. 34 Núm. 2 (2024): Julio - Diciembre 2024; 38-53
Ingeniería; Vol. 34 N.º 2 (2024): Julio - Diciembre 2024; 38-53
2215-2652
1409-2441
reponame:Portal de Revistas UCR
instname:Universidad de Costa Rica
instacron:UCR
instname_str Universidad de Costa Rica
instacron_str UCR
institution UCR
reponame_str Portal de Revistas UCR
collection Portal de Revistas UCR
repository.name.fl_str_mv Portal de Revistas UCR - Universidad de Costa Rica
repository.mail.fl_str_mv jorge.polanco@ucr.ac.cr
_version_ 1849325339066499072
spelling Español Operational modal analysis of a reinforced concrete building using stochastic subspace methodsAnálisis modal operacional de un edificio de concreto reforzado mediante métodos subespaciales estocásticosLiu Kuan, Yi ChengEsquivel-Salas, Luis CarlosAmbient vibrations,buildingsoperational modal analysis,stochastic subspace identification,structural dynamics.Análisis modal operacionaldinámica de estructurasedificioidentificación subespacial estocásticavibraciones ambientalesThe objective of this study is to identify the operational modal parameters of a six-story reinforcedconcrete frame building. This is done through roving sensor instrumentation technique while comparingthe two main variations of the stochastic subspace identification method: covariance-based (SSI-COV)and data-based (SSI-DATA) The experimentation is executed in order to contrast their effectiveness toidentify the dynamic system of concrete buildings from ambient vibration tests.The instrumentation of the building was carried out with four triaxial strong motion accelerographs.One stayed fixed on the top floor as a reference node for modal shape merging. The other three were movedfrom floor to floor to recover the operational modal shapes throughout the building at the observationpoints. This resulted in a total of six test configurations that lasted 20 min each.A total of nine modes were identified with the SSI-COV method, with successful merging andrecovering of their complete modal shapes. However, modes could not be identified correctly with SSIDATA,for data collected on the lower floors, so it was not possible to recover the complete mode shapesof the building. In this case, it is concluded that SSI-COV has better capacity for modal identificationfrom ambient vibrations collected via roving accelerographs in buildings.El objetivo del presente estudio es la identificación de los parámetros modales operacionales de unedificio de concreto reforzado tipo marco de seis niveles. Esto mediante instrumentación con técnica desensores ambulantes y comparando las dos principales variaciones que existen del método de identificaciónsubespacial estocástico: el basado en covarianzas (SSI-COV) y el basado en datos (SSI-DATA). Dichaexperimentación se realiza con el fin de contrastar su eficacia para identificar el sistema dinámico deedificios de concreto a partir de pruebas de vibraciones ambientales.La instrumentación del edificio fue realizada con cuatro acelerógrafos triaxiales. Uno de ellos semantuvo fijo en el piso superior como nodo de referencia para el empate de formas modales. Los otros tresse movilizaron de piso en piso para la recuperación de la forma modal operacional completa del edificioa lo largo de los puntos de observación. Así, se obtuvo un total de seis configuraciones de prueba, conuna duración de 20 min cada una.Se identificaron nueve modos en total con el método SSI-COV, de forma que se pudo empatar yrecuperar exitosamente las formas modales completas. No obstante, no fue posible identificar modoscorrectamente con el método SSI-DATA, para datos recolectados en los pisos inferiores; por lo que tampocofue posible recuperar las formas modales completas para el edificio. En este caso, se concluye que SSICOVtiene mejor capacidad para la identificación modal a partir de vibraciones ambientales recolectadasvía acelerógrafos ambulantes en edificios.Universidad de Costa Rica2024-05-21info:eu-repo/semantics/publishedVersionArticleArtículoartículo originalhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfapplication/epub+ziptext/htmlhttps://revistas.ucr.ac.cr/index.php/ingenieria/article/view/5812710.15517/ri.v34i2.58127Ingeniería; Vol. 34 No. 2 (2024): July - December (open issue); 38-53Ingeniería; Vol. 34 Núm. 2 (2024): Julio - Diciembre 2024; 38-53Ingeniería; Vol. 34 N.º 2 (2024): Julio - Diciembre 2024; 38-532215-26521409-2441reponame:Portal de Revistas UCRinstname:Universidad de Costa Ricainstacron:UCRspahttps://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59966https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59967https://revistas.ucr.ac.cr/index.php/ingenieria/article/view/58127/59970Derechos de autor 2024 Yi Cheng Liu Kuan, Luis Carlos Esquivel-Salashttps://creativecommons.org/licenses/by-nc-sa/4.0acceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccess2024-07-18T21:26:45Zoai:portal.ucr.ac.cr:article/58127Portal de revistashttps://revistas.ucr.ac.cr/Universidadhttp://www.ucr.ac.crhttps://revistas.ucr.ac.cr/index.php/index/oaijorge.polanco@ucr.ac.crCosta RicaNo aplicaNo aplicaNo aplicaopendoar:2025-08-13T10:08:19.117Portal de Revistas UCR - Universidad de Costa Ricafalse
score 15.228081

Registros relacionados