Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor

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Lima, the capital of Peru, has not suffered from a great earthquake since 1746, making this a prone Mw 8.8 earthquake area according to seismological studies. In this context, seismic structural health monitoring presents an opportunity to assess rapidly buildings after a great earthquake and protec...

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Detalles Bibliográficos
Autores: Sifuentes Jiménez, Armando Israel, Suarez Antunez, Mary Criss, Estacio Flores, Lucio Eduardo
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Nacional de Ingeniería
Repositorio:Revistas - Universidad Nacional de Ingeniería
Lenguaje:español
OAI Identifier:oai:oai:revistas.uni.edu.pe:article/1412
Enlace del recurso:https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412
Nivel de acceso:acceso abierto
Materia:Structural health monotoring
Low-cost acceleromenter
Fundamental frenquecies
Wavelet transform
Lima
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dc.title.none.fl_str_mv Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake
title Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
spellingShingle Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
Sifuentes Jiménez, Armando Israel
Structural health monotoring
Low-cost acceleromenter
Fundamental frenquecies
Wavelet transform
Lima
title_short Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
title_full Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
title_fullStr Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
title_full_unstemmed Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
title_sort Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensor
dc.creator.none.fl_str_mv Sifuentes Jiménez, Armando Israel
Suarez Antunez, Mary Criss
Estacio Flores, Lucio Eduardo
author Sifuentes Jiménez, Armando Israel
author_facet Sifuentes Jiménez, Armando Israel
Suarez Antunez, Mary Criss
Estacio Flores, Lucio Eduardo
author_role author
author2 Suarez Antunez, Mary Criss
Estacio Flores, Lucio Eduardo
author2_role author
author
dc.subject.none.fl_str_mv Structural health monotoring
Low-cost acceleromenter
Fundamental frenquecies
Wavelet transform
Lima
topic Structural health monotoring
Low-cost acceleromenter
Fundamental frenquecies
Wavelet transform
Lima
description Lima, the capital of Peru, has not suffered from a great earthquake since 1746, making this a prone Mw 8.8 earthquake area according to seismological studies. In this context, seismic structural health monitoring presents an opportunity to assess rapidly buildings after a great earthquake and protect inhabitant from those buildings with high risk of collapse due to aftershocks. A basic seismic structural health monitoring arrangement of a fifteenth-floor residential building is presented using a low-cost sensor called Raspberry Shake 4D. The implemented sensor incorporates both a vertical velocity geophone and three orthogonally positioned microelectromechanical systems accelerometers. The building is a reinforced concrete shear walls structure located in Comas, north of Lima. More than thirty seismic events have been recorded, including the Mw 8.0 Lagunas earthquake (05/26/2019) and the Mw 5.8 (22/06/2021) with epicentral distances of 709 km and 94 km, respectively. Acceleration as high as 150 cm/s2 and as low as 2 cm/s2 have been recorded. It was possible to obtain fundamental frequencies of vibration in longitudinal and transversal directions of the building from the response calculated using the wavelet transform that have a good agreement with results of microtremor measurements performed at different floors. The computed scalograms for seismic records showed important values of energy amplitudes for the fundamental frequencies of the building. Finally, theoretical fundamental frequencies were obtained from a 3D finite element model and an elastic analysis.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
TECNIA Special Issue on Earthquake Engineering
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412
10.21754/tecnia.v32i2.1412
url https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412
identifier_str_mv 10.21754/tecnia.v32i2.1412
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412/1992
https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412/2205
dc.rights.none.fl_str_mv Derechos de autor 2022 TECNIA
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2022 TECNIA
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dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv TECNIA; Vol. 32 No. 2 (2022): Earthquake Engineering; 162-170
TECNIA; Vol. 32 Núm. 2 (2022): Edición Especial: Ingeniería Sísmica; 162-170
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spelling Monitoring the structural health of a reinforced concrete shear wall residential building in Lima, Peru, using a raspberry shake 4d sensorMonitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shakeSifuentes Jiménez, Armando IsraelSuarez Antunez, Mary CrissEstacio Flores, Lucio EduardoStructural health monotoringLow-cost acceleromenterFundamental frenqueciesWavelet transformLimaLima, the capital of Peru, has not suffered from a great earthquake since 1746, making this a prone Mw 8.8 earthquake area according to seismological studies. In this context, seismic structural health monitoring presents an opportunity to assess rapidly buildings after a great earthquake and protect inhabitant from those buildings with high risk of collapse due to aftershocks. A basic seismic structural health monitoring arrangement of a fifteenth-floor residential building is presented using a low-cost sensor called Raspberry Shake 4D. The implemented sensor incorporates both a vertical velocity geophone and three orthogonally positioned microelectromechanical systems accelerometers. The building is a reinforced concrete shear walls structure located in Comas, north of Lima. More than thirty seismic events have been recorded, including the Mw 8.0 Lagunas earthquake (05/26/2019) and the Mw 5.8 (22/06/2021) with epicentral distances of 709 km and 94 km, respectively. Acceleration as high as 150 cm/s2 and as low as 2 cm/s2 have been recorded. It was possible to obtain fundamental frequencies of vibration in longitudinal and transversal directions of the building from the response calculated using the wavelet transform that have a good agreement with results of microtremor measurements performed at different floors. The computed scalograms for seismic records showed important values of energy amplitudes for the fundamental frequencies of the building. Finally, theoretical fundamental frequencies were obtained from a 3D finite element model and an elastic analysis.Lima, la capital de Perú, no ha sufrido un gran terremoto desde 1746, lo que la convierte en una zona propensa a terremotos de Mw 8,8 según estudios sismológicos. En este contexto, el monitoreo sísmico de la salud estructural presenta una oportunidad para evaluar rápidamente los edificios después de un gran terremoto y proteger a sus habitantes de aquellos edificios con alto riesgo de colapso debido a réplicas. Se presenta una disposición básica de monitoreo sísmico de la salud estructural de un edificio residencial del piso quince utilizando un sensor de bajo costo llamado Raspberry Shake 4D. El sensor implementado incorpora un geófono de velocidad vertical y tres acelerómetros de sistemas microelectromecánicos colocados ortogonalmente. El edificio es una estructura de muros de corte de hormigón armado ubicado en Comas, al norte de Lima. Se han registrado más de treinta eventos sísmicos, entre ellos el terremoto de Lagunas de Mw 8.0 (26/05/2019) y el de Mw 5.8 (22/06/2021) con distancias epicentrales de 709 km y 94 km, respectivamente. Se han registrado aceleraciones tan altas como 150 cm/s2 y tan bajas como 2 cm/s2. Fue posible obtener frecuencias fundamentales de vibración en las direcciones longitudinal y transversal del edificio a partir de la respuesta calculada utilizando la transformada wavelet que concuerdan bien con los resultados de las mediciones de microtemblores realizadas en diferentes pisos. Los escalogramas calculados para registros sísmicos mostraron valores importantes de amplitudes de energía para las frecuencias fundamentales del edificio. Finalmente, las frecuencias fundamentales teóricas se obtuvieron a partir de un modelo 3D de elementos finitos y un análisis elástico.Universidad Nacional de Ingeniería2022-08-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTECNIA Special Issue on Earthquake Engineeringapplication/pdfapplication/xmlhttps://revistas.uni.edu.pe/index.php/tecnia/article/view/141210.21754/tecnia.v32i2.1412TECNIA; Vol. 32 No. 2 (2022): Earthquake Engineering; 162-170TECNIA; Vol. 32 Núm. 2 (2022): Edición Especial: Ingeniería Sísmica; 162-1702309-04130375-776510.21754/tecnia.v32i2reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspahttps://revistas.uni.edu.pe/index.php/tecnia/article/view/1412/1992https://revistas.uni.edu.pe/index.php/tecnia/article/view/1412/2205Derechos de autor 2022 TECNIAhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/14122025-07-15T00:09:59Z
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