Machine learning model to predict slump, VEBE and compaction factor of M-Sand and shredded PET bottles concrete

This paper aims to develop the machine learning model with the help of experimental data such as slump, VEBE and compaction factor of concrete incorporated with shredded Polyethylene Terephthalate (PET) bottles, Manufactured Sand (M-sand) and River sand as find aggregates replacement in concrete mix...

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Bibliographic Details

Main Authors:	Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Saad, Siti Asmahani, Ali, Maisarah
Format:	Proceeding Paper
Language:	en
Published:	IOP Publising Ltd 2021
Subjects:	TA401 Materials of engineering and construction
Online Access:	http://irep.iium.edu.my/94482/18/94482_Machine%20learning%20model.pdf http://irep.iium.edu.my/94482/ https://iopscience.iop.org/article/10.1088/1757-899X/1244/1/012023
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