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dc.contributor.authorWei Chong, Beng
dc.contributor.authorRokiah, Othman
dc.contributor.authorRamadhansyah, Putra Jaya
dc.contributor.authorMohd Rosli, Mohd Hasan
dc.contributor.authorSandu, Andrei Victor
dc.contributor.authorNabiałek, Marcin
dc.contributor.authorJeż, Bartłomiej
dc.contributor.authorPietrusiewicz, Paweł
dc.contributor.authorKwiatkowski, Dariusz
dc.contributor.authorPostawa, Przemysław
dc.contributor.authorMohd Mustafa Al Bakri, Abdullah
dc.contributorFaculty of Civil Engineering Technology, Universiti Malaysia Pahangen_US
dc.contributorDepartment of Civil Engineering, College of Engineering, Universiti Malaysia Pahangen_US
dc.contributorCenter of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP)en_US
dc.contributorSchool of Civil Engineering, Universiti Sains Malaysiaen_US
dc.contributorFaculty of Material Science and Engineering, Gheorghe Asachi Technical University of Iasien_US
dc.contributorDepartment of Physics, Częstochowa University of Technologyen_US
dc.contributorFaculty of Mechanical Engineering and Computer Science, Częstochowa University of Technologyen_US
dc.creatorRokiah, Othman
dc.date.accessioned2021-12-23T08:37:36Z
dc.date.available2021-12-23T08:37:36Z
dc.date.issued2021-04-09
dc.identifier.citationMaterials, vol. 14(8), 2021, pages 1866en_US
dc.identifier.issn1996-1944
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/72986
dc.descriptionLink to publisher's homepage at https://www.mdpi.com/en_US
dc.description.abstractConcrete mix design and the determination of concrete performance are not merely engineering studies, but also mathematical and statistical endeavors. The study of concrete mechanical properties involves a myriad of factors, including, but not limited to, the amount of each constituent material and its proportion, the type and dosage of chemical additives, and the inclusion of different waste materials. The number of factors and combinations make it difficult, or outright impossible, to formulate an expression of concrete performance through sheer experimentation. Hence, design of experiment has become a part of studies, involving concrete with material addition or replacement. This paper reviewed common design of experimental methods, implemented by past studies, which looked into the analysis of concrete performance. Several analysis methods were employed to optimize data collection and data analysis, such as analysis of variance (ANOVA), regression, Taguchi method, Response Surface Methodology, and Artificial Neural Network. It can be concluded that the use of statistical analysis is helpful for concrete material research, and all the reviewed designs of experimental methods are helpful in simplifying the work and saving time, while providing accurate prediction of concrete mechanical performance.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.subject.otherDesign of experimenten_US
dc.subject.otherConcrete propertiesen_US
dc.subject.otherReviewen_US
dc.subject.otherRegressionen_US
dc.subject.otherResponse surface methodologyen_US
dc.subject.otherArtificial neural networken_US
dc.titleDesign of Experiment on Concrete Mechanical Properties Prediction: A Critical Reviewen_US
dc.typeArticleen_US
dc.identifier.urlhttps://www.mdpi.com/1996-1944/14/8/1866
dc.identifier.doihttps://doi.org/10.3390/ma14081866
dc.contributor.urlrokiah@ump.edu.myen_US


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