Design of experiment on concrete mechanical properties prediction: a critical review

Putra Jaya, Ramadhansyah and Chong, Beng Wei and Rokiah, Othman and Putra Jaya, Ramadhansyah and Mohd Rosli, Mohd Hasan and Sandu, Andrei Victor and Nabiałek, Marcin and Jez, Bartłomiej and Pietrusiewicz, Paweł and Kwiatkowski, Dariusz and Postawa, Przemysław and Mohd Mustafa Al Bakri, Abdullah (2021) Design of experiment on concrete mechanical properties prediction: a critical review. Materials, 14 (8). pp. 1-17. ISSN 1996-1944. (Published)

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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.

Item Type: Article
Uncontrolled Keywords: Design of experiment; Concrete properties; Review; Regression; Response surface methodology; Artificial neural network
Subjects: T Technology > TH Building construction
Faculty/Division: College of Engineering
Faculty of Civil Engineering Technology
Depositing User: PM Dr. Ramdhansyah Putra Jaya
Date Deposited: 20 Apr 2021 06:05
Last Modified: 20 Apr 2021 06:05
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