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dc.contributor.authorChica L
dc.contributor.authorMera C
dc.contributor.authorSepúlveda-Cano L.M
dc.contributor.authorAlzate A.
dc.date.accessioned2023-10-24T19:25:36Z
dc.date.available2023-10-24T19:25:36Z
dc.date.created2022
dc.identifier.issn13595997
dc.identifier.urihttp://hdl.handle.net/11407/8092
dc.description.abstractIn foamed concrete, porosity is essential because it is strongly related to other properties such as density, permeability, and strength. Porosity measurement (usually expressed as a percentage of total volume) is obtained in a laboratory using experimental water vacuum saturation and MIP methods. However, pore structure -including size, distribution, shape, and connection- is also needed to understand foamed concrete performance. Pore structure characterization is estimated through specialized digital image analysis. Micro CT, scanning electron microscopy or X-ray tomography images are frequently used to obtain pore structure on cellular concrete. However, these images are highly specialized and require equipment that is not easy to find and very expensive. Also, image processing is complex, and it includes some specialized software. This paper presents a pore structure characterization and porosity estimation using non-specialized digital images on foamed cement paste made with alternative agents. The procedure for acquiring images uses only a camera without any specialized equipment. The proposed methodology isolates the pores in the image and measures shape features such as pore diameter, eccentricity, and solidity. Acquiring and processing the images is simpler, faster, and cheaper than other specialized analyses. Results show that the volumetric porosity estimation was entirely accurate, with an estimation deviation of less than 10%. Also, the pore structure parameters such as pore size and distribution of foamed pastes can be quantified accurately. © 2022, The Author(s).eng
dc.language.isoeng
dc.publisherSpringer Science and Business Media B.V.
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85137079463&doi=10.1617%2fs11527-022-02031-6&partnerID=40&md5=87b694e10daccf7ce2e6c4332301e8fc
dc.sourceMater Struct
dc.sourceMaterials and Structures/Materiaux et Constructionseng
dc.subjectFoamed concreteeng
dc.subjectNon-specialized imageseng
dc.subjectPore segmentationeng
dc.subjectPore structureeng
dc.titlePorosity estimation and pore structure characterization of foamed cement paste using non-specialized image digital processingeng
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Civilspa
dc.type.spaArtículo
dc.identifier.doi10.1617/s11527-022-02031-6
dc.relation.citationvolume55
dc.relation.citationissue7
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationChica, L., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 30-65, Antioquia, Medellín, 050023, Colombia
dc.affiliationMera, C., Facultad de Ingenierías, Instituto Tecnológico Metropolitano - ITM, Carrera 54A 30-01, Antioquia, Medellín, 050023, Colombia
dc.affiliationSepúlveda-Cano, L.M., Escuela de Administración, EAFIT, Carrera 49 N 7 Sur-50, Antioquia, Medellín, 050023, Colombia
dc.affiliationAlzate, A., Facultad de Ingenierías, Universidad de Medellín, Carrera 87 30-65, Antioquia, Medellín, 050023, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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