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Automatic concrete health monitoring: assessment and monitoring of concrete surfaces

2013-09-24Artigo científico Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
datacite.subject.fosEngenharia e Tecnologia::Engenharia Civil
datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorValença, Jónatas
dc.contributor.authorDias-da-Costa, Daniel
dc.contributor.authorGonçalves, Luísa
dc.contributor.authorJúlio, Eduardo
dc.contributor.authorAraújo, Helder
dc.date.accessioned2026-07-13T13:32:44Z
dc.date.available2026-07-13T13:32:44Z
dc.date.issued2013-09-24
dc.descriptionLink para o documento - https://www.researchgate.net/publication/267211748_Automatic_Concrete_Health_Monitoring_-_Assessment_and_Monitoring_of_Concrete_Surfaces
dc.description.abstractTo predict the degradation of concrete structures is extremely challenging. The typical approach combines periodic visual inspections with required non-destructive tests. However, this methodology only discretely evaluates few areas of the structure, being also time consuming and subject to human error. Therefore, a new method designated ‘automatic concrete health monitoring’ is herein presented which aims at automatically characterising and monitoring the state of conservation of concrete surfaces by combining photogrammetry, image processing and multi-spectral analysis. The method was designed to (i) characterise crack pattern, displacement and strain fields; (ii) map damages and (iii) assess and define restoration tasks.eng
dc.identifier.citationValença, J., Dias-da-Costa, D., Gonçalves, L., Júlio, E., & Araújo, H. (2014). Automatic concrete health monitoring: assessment and monitoring of concrete surfaces. Structure and Infrastructure Engineering, 10(12), 1547–1554. https://doi.org/10.1080/15732479.2013.835326.
dc.identifier.doi10.1080/15732479.2013.835326
dc.identifier.eissn1744-8980
dc.identifier.issn1573-2479
dc.identifier.urihttp://hdl.handle.net/10400.8/16584
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor and Francis
dc.relation.hasversionhttps://www.tandfonline.com/doi/full/10.1080/15732479.2013.835326
dc.relation.ispartofStructure and Infrastructure Engineering
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectconcrete
dc.subjectdurability
dc.subjectdamage
dc.subjectassessment
dc.subjectmonitoring
dc.subjectmapping
dc.subjectnon-destructive tests
dc.titleAutomatic concrete health monitoring: assessment and monitoring of concrete surfaceseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage1554
oaire.citation.issue12
oaire.citation.startPage1547
oaire.citation.titleStructure and Infrastructure Engineering
oaire.citation.volume10
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGonçalves
person.givenNameLuisa
person.identifier.ciencia-id9116-82A0-3060
person.identifier.orcid0000-0002-6265-8903
person.identifier.ridU-1298-2017
person.identifier.scopus-author-id35145815700
relation.isAuthorOfPublication1ba44699-bdda-4e01-97ec-c02fe603afc5
relation.isAuthorOfPublication.latestForDiscovery1ba44699-bdda-4e01-97ec-c02fe603afc5

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To predict the degradation of concrete structures is extremely challenging. The typical approach combines periodic visual inspections with required non-destructive tests. However, this methodology only discretely evaluates few areas of the structure, being also time consuming and subject to human error. Therefore, a new method designated ‘automatic concrete health monitoring’ is herein presented which aims at automatically characterising and monitoring the state of conservation of concrete surfaces by combining photogrammetry, image processing and multi-spectral analysis. The method was designed to (i) characterise crack pattern, displacement and strain fields; (ii) map damages and (iii) assess and define restoration tasks.
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