Crack detection in prestressed concrete structures by measuring their natural frequencies

Autores
Ercolani, Germán Darío; Felix, D. H.; Ortega, Nestor Francisco
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
When inspecting the health of a civil structure, it is important to have efficient techniques to detect the possible presence of structural damage. This work deals with the detection of damage in prestressed concrete structures, which are widely used in road bridges and long span slabs, among others. Concrete structures can be affected by different pathologies, with the transverse cracks beingone of the most dangerous damages, since they involve a localized reduction of the flexural rigidity of the structure. Such cracks change both the static and dynamic behavior of the structure. In this paper, an inverse method of damage detection is applied on two experimental beams built in the laboratory, from the measurement of the first three natural frequencies of vibration. An algorithm for solving the system of equations has been developed by the authors. Explicit equations were obtained to calculate both the crack position and its depth. The predicted damages by the algorithm have been in good agreement with the real damages of the experimental models. An important aspect of this methodology for crack detection is the simplicity of its experimental implementation.
Fil: Ercolani, Germán Darío. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Felix, D. H.. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina
Fil: Ortega, Nestor Francisco. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina
Materia
CRACK DETECTION
DYNAMIC TESTS
INVERSE METHOD
NATURAL FREQUENCIES
PRESTRESSED CONCRETE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/210783
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Crack detection in prestressed concrete structures by measuring their natural frequenciesErcolani, Germán DaríoFelix, D. H.Ortega, Nestor FranciscoCRACK DETECTIONDYNAMIC TESTSINVERSE METHODNATURAL FREQUENCIESPRESTRESSED CONCRETEhttps://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2When inspecting the health of a civil structure, it is important to have efficient techniques to detect the possible presence of structural damage. This work deals with the detection of damage in prestressed concrete structures, which are widely used in road bridges and long span slabs, among others. Concrete structures can be affected by different pathologies, with the transverse cracks beingone of the most dangerous damages, since they involve a localized reduction of the flexural rigidity of the structure. Such cracks change both the static and dynamic behavior of the structure. In this paper, an inverse method of damage detection is applied on two experimental beams built in the laboratory, from the measurement of the first three natural frequencies of vibration. An algorithm for solving the system of equations has been developed by the authors. Explicit equations were obtained to calculate both the crack position and its depth. The predicted damages by the algorithm have been in good agreement with the real damages of the experimental models. An important aspect of this methodology for crack detection is the simplicity of its experimental implementation.Fil: Ercolani, Germán Darío. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Felix, D. H.. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; ArgentinaFil: Ortega, Nestor Francisco. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; ArgentinaSpringer2018-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/210783Ercolani, Germán Darío; Felix, D. H.; Ortega, Nestor Francisco; Crack detection in prestressed concrete structures by measuring their natural frequencies; Springer; Journal of Civil Structural Health Monitoring; 8; 4; 8-2018; 661-6712190-5479CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s13349-018-0295-2info:eu-repo/semantics/altIdentifier/doi/10.1007/s13349-018-0295-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:42:37Zoai:ri.conicet.gov.ar:11336/210783instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:42:37.842CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Crack detection in prestressed concrete structures by measuring their natural frequencies
title Crack detection in prestressed concrete structures by measuring their natural frequencies
spellingShingle Crack detection in prestressed concrete structures by measuring their natural frequencies
Ercolani, Germán Darío
CRACK DETECTION
DYNAMIC TESTS
INVERSE METHOD
NATURAL FREQUENCIES
PRESTRESSED CONCRETE
title_short Crack detection in prestressed concrete structures by measuring their natural frequencies
title_full Crack detection in prestressed concrete structures by measuring their natural frequencies
title_fullStr Crack detection in prestressed concrete structures by measuring their natural frequencies
title_full_unstemmed Crack detection in prestressed concrete structures by measuring their natural frequencies
title_sort Crack detection in prestressed concrete structures by measuring their natural frequencies
dc.creator.none.fl_str_mv Ercolani, Germán Darío
Felix, D. H.
Ortega, Nestor Francisco
author Ercolani, Germán Darío
author_facet Ercolani, Germán Darío
Felix, D. H.
Ortega, Nestor Francisco
author_role author
author2 Felix, D. H.
Ortega, Nestor Francisco
author2_role author
author
dc.subject.none.fl_str_mv CRACK DETECTION
DYNAMIC TESTS
INVERSE METHOD
NATURAL FREQUENCIES
PRESTRESSED CONCRETE
topic CRACK DETECTION
DYNAMIC TESTS
INVERSE METHOD
NATURAL FREQUENCIES
PRESTRESSED CONCRETE
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.1
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv When inspecting the health of a civil structure, it is important to have efficient techniques to detect the possible presence of structural damage. This work deals with the detection of damage in prestressed concrete structures, which are widely used in road bridges and long span slabs, among others. Concrete structures can be affected by different pathologies, with the transverse cracks beingone of the most dangerous damages, since they involve a localized reduction of the flexural rigidity of the structure. Such cracks change both the static and dynamic behavior of the structure. In this paper, an inverse method of damage detection is applied on two experimental beams built in the laboratory, from the measurement of the first three natural frequencies of vibration. An algorithm for solving the system of equations has been developed by the authors. Explicit equations were obtained to calculate both the crack position and its depth. The predicted damages by the algorithm have been in good agreement with the real damages of the experimental models. An important aspect of this methodology for crack detection is the simplicity of its experimental implementation.
Fil: Ercolani, Germán Darío. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Felix, D. H.. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina
Fil: Ortega, Nestor Francisco. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional del Sur. Instituto de Ingeniería; Argentina
description When inspecting the health of a civil structure, it is important to have efficient techniques to detect the possible presence of structural damage. This work deals with the detection of damage in prestressed concrete structures, which are widely used in road bridges and long span slabs, among others. Concrete structures can be affected by different pathologies, with the transverse cracks beingone of the most dangerous damages, since they involve a localized reduction of the flexural rigidity of the structure. Such cracks change both the static and dynamic behavior of the structure. In this paper, an inverse method of damage detection is applied on two experimental beams built in the laboratory, from the measurement of the first three natural frequencies of vibration. An algorithm for solving the system of equations has been developed by the authors. Explicit equations were obtained to calculate both the crack position and its depth. The predicted damages by the algorithm have been in good agreement with the real damages of the experimental models. An important aspect of this methodology for crack detection is the simplicity of its experimental implementation.
publishDate 2018
dc.date.none.fl_str_mv 2018-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/210783
Ercolani, Germán Darío; Felix, D. H.; Ortega, Nestor Francisco; Crack detection in prestressed concrete structures by measuring their natural frequencies; Springer; Journal of Civil Structural Health Monitoring; 8; 4; 8-2018; 661-671
2190-5479
CONICET Digital
CONICET
url http://hdl.handle.net/11336/210783
identifier_str_mv Ercolani, Germán Darío; Felix, D. H.; Ortega, Nestor Francisco; Crack detection in prestressed concrete structures by measuring their natural frequencies; Springer; Journal of Civil Structural Health Monitoring; 8; 4; 8-2018; 661-671
2190-5479
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/10.1007/s13349-018-0295-2
info:eu-repo/semantics/altIdentifier/doi/10.1007/s13349-018-0295-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.891075

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