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dc.contributor.authorWei Chong, Beng
dc.contributor.authorRokiah, Othman
dc.contributor.authorRamadhansyah, Putra Jaya
dc.contributor.authorShu Ing, Doh
dc.contributor.authorLi, Xiaofeng
dc.contributor.authorMohd Haziman, Wan Ibrahim
dc.contributor.authorMohd Mustafa Al Bakri, Abdullah
dc.contributor.authorSandu, Andrei Victor
dc.contributor.authorPłoszaj, Bartosz
dc.contributor.authorSzmidla, Janusz
dc.contributor.authorStachowiak, Tomasz
dc.contributorFaculty of Civil Engineering Technology, Universiti Malaysia Pahangen_US
dc.contributorDepartment of Civil Engineering, College of Engineering, Universiti Malaysia Pahangen_US
dc.contributorFaculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysiaen_US
dc.contributorCentre of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP)en_US
dc.contributorFaculty of Material Science and Engineering, Gheorghe Asachi Technical University of Iasien_US
dc.contributorNational Institute for Research and Development for Environmental Protection INCDPMen_US
dc.contributorDepartment of Physics, Częstochowa University of Technologyen_US
dc.contributorFaculty of Mechanical Engineering and Computer Science, Częstochowa University of Technologyen_US
dc.creatorRamadhansyah, Putra Jaya
dc.date2021-12
dc.date.accessioned2021-12-23T06:28:11Z
dc.date.available2021-12-23T06:28:11Z
dc.date.issued2021-03-28
dc.identifier.citationMaterials, vol. 14(7), 2021, pages 1658en_US
dc.identifier.issn1996-1944
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/72983
dc.descriptionLink to publisher's homepage at https://www.mdpi.com/en_US
dc.description.abstractImage analysis techniques are gaining popularity in the studies of civil engineering materials. However, the current established image analysis methods often require advanced machinery and strict image acquisition procedures which may be challenging in actual construction practices. In this study, we develop a simplified image analysis technique that uses images with only a digital camera and does not have a strict image acquisition regime. Mortar with 10%, 20%, 30%, and 40% pozzolanic material as cement replacement are prepared for the study. The properties of mortar are evaluated with flow table test, compressive strength test, water absorption test, and surface porosity based on the proposed image analysis technique. The experimental results show that mortar specimens with 20% processed spent bleaching earth (PSBE) achieve the highest 28-day compressive strength and lowest water absorption. The quantified image analysis results show accurate representation of mortar quality with 20% PSBE mortar having the lowest porosity. The regression analysis found strong correlations between all experimental data and the compressive strength. Hence, the developed technique is verified to be feasible as supplementary mortar properties for the study of mortar with pozzolanic material.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.subject.otherImage analysisen_US
dc.subject.otherMortaren_US
dc.subject.otherCompressive strengthen_US
dc.subject.otherWater absorptionen_US
dc.subject.otherPorosityen_US
dc.titleImage analysis of surface porosity mortar containing processed spent bleaching earthen_US
dc.typeArticleen_US
dc.identifier.urlhttps://www.mdpi.com/1996-1944/14/7/1658
dc.identifier.doihttps://doi.org/10.3390/ma14071658
dc.contributor.urlramadhansyah@ump.edu.myen_US


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