Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review
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2021
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my.unimap-729862021-12-23T08:37:36Z Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review Rokiah, Othman Wei Chong, Beng Rokiah, Othman Ramadhansyah, Putra Jaya Mohd Rosli, Mohd Hasan Sandu, Andrei Victor Nabiałek, Marcin Jeż, Bartłomiej Pietrusiewicz, Paweł Kwiatkowski, Dariusz Postawa, Przemysław Mohd Mustafa Al Bakri, Abdullah rokiah@ump.edu.my Faculty of Civil Engineering Technology, Universiti Malaysia Pahang Department of Civil Engineering, College of Engineering, Universiti Malaysia Pahang Center of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP) School of Civil Engineering, Universiti Sains Malaysia Faculty of Material Science and Engineering, Gheorghe Asachi Technical University of Iasi Department of Physics, Częstochowa University of Technology Faculty of Mechanical Engineering and Computer Science, Częstochowa University of Technology Design of experiment Concrete properties Review Regression Response surface methodology Artificial neural network Link to publisher's homepage at https://www.mdpi.com/ Concrete 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. 2021-12-23T08:37:36Z 2021-12-23T08:37:36Z 2021-04-09 Article Materials, vol. 14(8), 2021, pages 1866 1996-1944 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72986 https://www.mdpi.com/1996-1944/14/8/1866 https://doi.org/10.3390/ma14081866 en MDPI AG |
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Malaysia |
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Universiti Malaysia Perlis |
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| language |
English |
| topic |
Design of experiment Concrete properties Review Regression Response surface methodology Artificial neural network |
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Design of experiment Concrete properties Review Regression Response surface methodology Artificial neural network Rokiah, Othman Wei Chong, Beng Rokiah, Othman Ramadhansyah, Putra Jaya Mohd Rosli, Mohd Hasan Sandu, Andrei Victor Nabiałek, Marcin Jeż, Bartłomiej Pietrusiewicz, Paweł Kwiatkowski, Dariusz Postawa, Przemysław Mohd Mustafa Al Bakri, Abdullah Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
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Link to publisher's homepage at https://www.mdpi.com/ |
| author2 |
rokiah@ump.edu.my |
| author_facet |
rokiah@ump.edu.my Rokiah, Othman Wei Chong, Beng Rokiah, Othman Ramadhansyah, Putra Jaya Mohd Rosli, Mohd Hasan Sandu, Andrei Victor Nabiałek, Marcin Jeż, Bartłomiej Pietrusiewicz, Paweł Kwiatkowski, Dariusz Postawa, Przemysław Mohd Mustafa Al Bakri, Abdullah |
| format |
Article |
| author |
Rokiah, Othman Wei Chong, Beng Rokiah, Othman Ramadhansyah, Putra Jaya Mohd Rosli, Mohd Hasan Sandu, Andrei Victor Nabiałek, Marcin Jeż, Bartłomiej Pietrusiewicz, Paweł Kwiatkowski, Dariusz Postawa, Przemysław Mohd Mustafa Al Bakri, Abdullah |
| author_sort |
Rokiah, Othman |
| title |
Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
| title_short |
Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
| title_full |
Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
| title_fullStr |
Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
| title_full_unstemmed |
Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review |
| title_sort |
design of experiment on concrete mechanical properties prediction: a critical review |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72986 |
| _version_ |
1724609982534516736 |
| score |
13.159267 |