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Comparison of Methods for Texture Assessment of Concrete Surfaces

2010-09Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Civil
datacite.subject.fosCiências Naturais::Outras Ciências Naturais
dc.contributor.authorSantos, Pedro Miguel Duarte
dc.contributor.authorJúlio, Eduardo Nuno Brito Santos
dc.date.accessioned2025-11-07T17:26:13Z
dc.date.available2025-11-07T17:26:13Z
dc.date.issued2010-09
dc.descriptionFontes: https://scholar.google.com/scholar?q=Comparison%20of%20Methods%20for%20Texture%20Assessment%20of%20Concrete%20Surfaces. https://www.researchgate.net/publication/267212015_Comparison_of_Methods_for_Texture_Assessment_of_Concrete_Surfaces
dc.description.abstractThe bond strength of the interface between concrete layers cast at different times is important to ensure the monolithic behavior of reinforced concrete (RC) composite members. The roughness of the substrate surface has a significant influence in this scope. Current design codes use a qualitative approach based on visual inspection to assess roughness. This procedure is highly dependent on the designer and, therefore, can lead to inaccurate results. Previous studies conducted by the authors proved that it is possible to use a quantitative criterion to classify roughness. This paper describes an experimental study conducted to compare four roughness quantification methods: the processing of the digital image (PDI) and the two-dimensional (2D) laser roughness analyzer (2D-LRA) methods, both developed by the authors; an upgrade of these, using a three-dimensional (3D) laser scanner; and the sand patch test (SPT), a simple and widespread method. The 2D-LRA proved to be the best from the four methods considered because it gives a quantitative assessment of the roughness with adequate accuracy, is nondestructive, easy and fast to use, and is cost effective.eng
dc.description.sponsorshipThe authors acknowledge the financial support of the Portuguese Science and Technology Foundation (FCT), PhD Grant No. SFRH/BD/25510/2005. Acknowledgments are extended to the companies Maprel-Empresa de Pavimentos e Materiais Pré-Esforçados Lda, Sika Portugal SA, AFAssociados-Projectos de Engenharia SA, Weber Cimenfix, Cimpor-Cimentos de Portugal, Betão-Liz, Euro-Planning-Engenharia & Gestão Lda, TrueGage, and Sycode for their financial and material support.
dc.identifier.citationSantos, P. M. D., & Júlio, E. N. B. S. (2010). Comparison of Methods for Texture Assessment of Concrete Surfaces. ACI Materials Journal, 107(5). DOI: https://doi.org/10.14359/51663962.
dc.identifier.doi10.14359/51663962
dc.identifier.eissn1944-737X
dc.identifier.issn0889-325X
dc.identifier.urihttp://hdl.handle.net/10400.8/14572
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Concrete Institute
dc.relation.hasversionhttps://www.concrete.org/publications/typesofpublications/periodicals/acimaterialsjournal.aspx
dc.relation.ispartofACI Materials Journal
dc.rights.uriN/A
dc.subjectbond
dc.subjectinterface
dc.subjectlaser scanning
dc.subjectroughness
dc.subjectsand patch test
dc.subjectstrength
dc.subjectsurface
dc.subjecttexture
dc.titleComparison of Methods for Texture Assessment of Concrete Surfaceseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage440
oaire.citation.issue5
oaire.citation.startPage433
oaire.citation.titleACI Materials Journal
oaire.citation.volume107
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos
person.givenNamePedro
person.identifier.orcid0000-0001-8193-8399
relation.isAuthorOfPublication2472a851-5aac-47f5-a088-2b276e9bd097
relation.isAuthorOfPublication.latestForDiscovery2472a851-5aac-47f5-a088-2b276e9bd097

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The bond strength of the interface between concrete layers cast at different times is important to ensure the monolithic behavior of reinforced concrete (RC) composite members. The roughness of the substrate surface has a significant influence in this scope. Current design codes use a qualitative approach based on visual inspection to assess roughness. This procedure is highly dependent on the designer and, therefore, can lead to inaccurate results. Previous studies conducted by the authors proved that it is possible to use a quantitative criterion to classify roughness. This paper describes an experimental study conducted to compare four roughness quantification methods: the processing of the digital image (PDI) and the two-dimensional (2D) laser roughness analyzer (2D-LRA) methods, both developed by the authors; an upgrade of these, using a three-dimensional (3D) laser scanner; and the sand patch test (SPT), a simple and widespread method. The 2D-LRA proved to be the best from the four methods considered because it gives a quantitative assessment of the roughness with adequate accuracy, is nondestructive, easy and fast to use, and is cost effective.
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