Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions

Autores
Benaissa, Brahim; Aït Hocine, Nourredine; Belaidi, Idir; Hamrani, Abderrachid; Pettarin, Valeria
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work deals with the crack identification using model reduction based on the proper orthogonal decomposition method. The proposed inverse problem consists of the estimation of the crack length and its position in a plate using boundary displacements as input data. Genetic algorithm and particle swarm optimization were applied for the minimization of the error function expressed as the difference between the boundary displacements of the actual crack and those of the estimated crack. It was found that the proposed approach is able to accurately estimate crack size and detect its location. The stability of the identification algorithm was tested against measurement uncertainty by introducing a white Gaussian noise in the input data. The approach showed high stability for noise levels lower than 5 %. The efficiency of the approach using small number of sensor points was also demonstrated.
Fil: Benaissa, Brahim. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Aït Hocine, Nourredine. INSA Centre Val de Loire; Francia
Fil: Belaidi, Idir. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Hamrani, Abderrachid. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Pettarin, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina
Materia
Crack Identification
Genetic Algorithm
Inverse Problem
Particle Swarm Optimization
Proper Orthogonal Decomposition
Radial Basis Functions
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:11336/39939
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/39939
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functionsBenaissa, BrahimAït Hocine, NourredineBelaidi, IdirHamrani, AbderrachidPettarin, ValeriaCrack IdentificationGenetic AlgorithmInverse ProblemParticle Swarm OptimizationProper Orthogonal DecompositionRadial Basis Functionshttps://purl.org/becyt/ford/2.3https://purl.org/becyt/ford/2This work deals with the crack identification using model reduction based on the proper orthogonal decomposition method. The proposed inverse problem consists of the estimation of the crack length and its position in a plate using boundary displacements as input data. Genetic algorithm and particle swarm optimization were applied for the minimization of the error function expressed as the difference between the boundary displacements of the actual crack and those of the estimated crack. It was found that the proposed approach is able to accurately estimate crack size and detect its location. The stability of the identification algorithm was tested against measurement uncertainty by introducing a white Gaussian noise in the input data. The approach showed high stability for noise levels lower than 5 %. The efficiency of the approach using small number of sensor points was also demonstrated.Fil: Benaissa, Brahim. Université M’hamed Bougara de Boumerdes; ArgeliaFil: Aït Hocine, Nourredine. INSA Centre Val de Loire; FranciaFil: Belaidi, Idir. Université M’hamed Bougara de Boumerdes; ArgeliaFil: Hamrani, Abderrachid. Université M’hamed Bougara de Boumerdes; ArgeliaFil: Pettarin, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; ArgentinaSpringer2016-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/39939Benaissa, Brahim; Aït Hocine, Nourredine; Belaidi, Idir; Hamrani, Abderrachid; Pettarin, Valeria; Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions; Springer; Structural and Multidisciplinary Optimization; 54; 2; 8-2016; 265-2741615-147XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00158-016-1400-yinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00158-016-1400-yinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:50Zoai:ri.conicet.gov.ar:11336/39939instacron: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:34982025-09-03 09:45:51.32CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
title Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
spellingShingle Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
Benaissa, Brahim
Crack Identification
Genetic Algorithm
Inverse Problem
Particle Swarm Optimization
Proper Orthogonal Decomposition
Radial Basis Functions
title_short Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
title_full Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
title_fullStr Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
title_full_unstemmed Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
title_sort Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions
dc.creator.none.fl_str_mv Benaissa, Brahim
Aït Hocine, Nourredine
Belaidi, Idir
Hamrani, Abderrachid
Pettarin, Valeria
author Benaissa, Brahim
author_facet Benaissa, Brahim
Aït Hocine, Nourredine
Belaidi, Idir
Hamrani, Abderrachid
Pettarin, Valeria
author_role author
author2 Aït Hocine, Nourredine
Belaidi, Idir
Hamrani, Abderrachid
Pettarin, Valeria
author2_role author
author
author
author
dc.subject.none.fl_str_mv Crack Identification
Genetic Algorithm
Inverse Problem
Particle Swarm Optimization
Proper Orthogonal Decomposition
Radial Basis Functions
topic Crack Identification
Genetic Algorithm
Inverse Problem
Particle Swarm Optimization
Proper Orthogonal Decomposition
Radial Basis Functions
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.3
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work deals with the crack identification using model reduction based on the proper orthogonal decomposition method. The proposed inverse problem consists of the estimation of the crack length and its position in a plate using boundary displacements as input data. Genetic algorithm and particle swarm optimization were applied for the minimization of the error function expressed as the difference between the boundary displacements of the actual crack and those of the estimated crack. It was found that the proposed approach is able to accurately estimate crack size and detect its location. The stability of the identification algorithm was tested against measurement uncertainty by introducing a white Gaussian noise in the input data. The approach showed high stability for noise levels lower than 5 %. The efficiency of the approach using small number of sensor points was also demonstrated.
Fil: Benaissa, Brahim. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Aït Hocine, Nourredine. INSA Centre Val de Loire; Francia
Fil: Belaidi, Idir. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Hamrani, Abderrachid. Université M’hamed Bougara de Boumerdes; Argelia
Fil: Pettarin, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnología de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Instituto de Investigaciones en Ciencia y Tecnología de Materiales; Argentina
description This work deals with the crack identification using model reduction based on the proper orthogonal decomposition method. The proposed inverse problem consists of the estimation of the crack length and its position in a plate using boundary displacements as input data. Genetic algorithm and particle swarm optimization were applied for the minimization of the error function expressed as the difference between the boundary displacements of the actual crack and those of the estimated crack. It was found that the proposed approach is able to accurately estimate crack size and detect its location. The stability of the identification algorithm was tested against measurement uncertainty by introducing a white Gaussian noise in the input data. The approach showed high stability for noise levels lower than 5 %. The efficiency of the approach using small number of sensor points was also demonstrated.
publishDate 2016
dc.date.none.fl_str_mv 2016-08
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/11336/39939
Benaissa, Brahim; Aït Hocine, Nourredine; Belaidi, Idir; Hamrani, Abderrachid; Pettarin, Valeria; Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions; Springer; Structural and Multidisciplinary Optimization; 54; 2; 8-2016; 265-274
1615-147X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/39939
identifier_str_mv Benaissa, Brahim; Aït Hocine, Nourredine; Belaidi, Idir; Hamrani, Abderrachid; Pettarin, Valeria; Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions; Springer; Structural and Multidisciplinary Optimization; 54; 2; 8-2016; 265-274
1615-147X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00158-016-1400-y
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00158-016-1400-y
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
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
_version_ 1842268758268182528
score 13.13397

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