In-plane displacement and strain image analysis
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/5736 |
Resumo: | Measurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area. Image processing analysis is an alternative way that enables the measurement of the complete area of interest with a simple and effective setup. In this article photo sequences taken during load displacement tests were captured by a digital camera and processed with image correlation algorithms. Three different image processing algorithms were used with real images taken from tests using specimens of PVC and Plexiglas. The data obtained from the image processing algorithms were also compared with the data from physical sensors. A complete displacement and strain map were obtained. Results show that the accuracy of the measurements obtained by photogrammetry is equivalent to that from the physical sensors but with much less equipment and fewer setup requirements. © 2015Computer-Aided Civil and Infrastructure Engineering. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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In-plane displacement and strain image analysisImage analysisIn-plane displacementMeasurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area. Image processing analysis is an alternative way that enables the measurement of the complete area of interest with a simple and effective setup. In this article photo sequences taken during load displacement tests were captured by a digital camera and processed with image correlation algorithms. Three different image processing algorithms were used with real images taken from tests using specimens of PVC and Plexiglas. The data obtained from the image processing algorithms were also compared with the data from physical sensors. A complete displacement and strain map were obtained. Results show that the accuracy of the measurements obtained by photogrammetry is equivalent to that from the physical sensors but with much less equipment and fewer setup requirements. © 2015Computer-Aided Civil and Infrastructure Engineering.Blackwell Publishing Inc.RCIPLAlmeida, GraçaMelicio, FernandoBiscaia, HugoChastre, CarlosFonseca, José Manuel2016-02-24T16:49:36Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/5736engALMEIDA, Graça; [et al.] - In-plane displacement and strain image analysis. Computer-Aided Civil and Infrastructure Engineering. Issn. 1093-9687. Vol. 31, N.º 4 (2016), pp. 292-3041093-968710.1111/mice.12127metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T09:49:34Zoai:repositorio.ipl.pt:10400.21/5736Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:14:58.772548Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
In-plane displacement and strain image analysis |
title |
In-plane displacement and strain image analysis |
spellingShingle |
In-plane displacement and strain image analysis Almeida, Graça Image analysis In-plane displacement |
title_short |
In-plane displacement and strain image analysis |
title_full |
In-plane displacement and strain image analysis |
title_fullStr |
In-plane displacement and strain image analysis |
title_full_unstemmed |
In-plane displacement and strain image analysis |
title_sort |
In-plane displacement and strain image analysis |
author |
Almeida, Graça |
author_facet |
Almeida, Graça Melicio, Fernando Biscaia, Hugo Chastre, Carlos Fonseca, José Manuel |
author_role |
author |
author2 |
Melicio, Fernando Biscaia, Hugo Chastre, Carlos Fonseca, José Manuel |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Almeida, Graça Melicio, Fernando Biscaia, Hugo Chastre, Carlos Fonseca, José Manuel |
dc.subject.por.fl_str_mv |
Image analysis In-plane displacement |
topic |
Image analysis In-plane displacement |
description |
Measurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area. Image processing analysis is an alternative way that enables the measurement of the complete area of interest with a simple and effective setup. In this article photo sequences taken during load displacement tests were captured by a digital camera and processed with image correlation algorithms. Three different image processing algorithms were used with real images taken from tests using specimens of PVC and Plexiglas. The data obtained from the image processing algorithms were also compared with the data from physical sensors. A complete displacement and strain map were obtained. Results show that the accuracy of the measurements obtained by photogrammetry is equivalent to that from the physical sensors but with much less equipment and fewer setup requirements. © 2015Computer-Aided Civil and Infrastructure Engineering. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-02-24T16:49:36Z 2016 2016-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/5736 |
url |
http://hdl.handle.net/10400.21/5736 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ALMEIDA, Graça; [et al.] - In-plane displacement and strain image analysis. Computer-Aided Civil and Infrastructure Engineering. Issn. 1093-9687. Vol. 31, N.º 4 (2016), pp. 292-304 1093-9687 10.1111/mice.12127 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Blackwell Publishing Inc. |
publisher.none.fl_str_mv |
Blackwell Publishing Inc. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133407925501952 |