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Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review

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Main Authors:	Rokiah, Othman, Wei Chong, Beng, 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
Other Authors:	rokiah@ump.edu.my
Format:	Article
Language:	English
Published:	MDPI AG 2021
Subjects:	Design of experiment Concrete properties Review Regression Response surface methodology Artificial neural network
Online Access:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72986
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id	my.unimap-72986
record_format	dspace
spelling	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
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Design of experiment Concrete properties Review Regression Response surface methodology Artificial neural network
spellingShingle	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
description	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	13.226497

Design of Experiment on Concrete Mechanical Properties Prediction: A Critical Review

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