PREDICTION OF CONCRETE MIX DESIGN USING DATA MINING TECHNIQUES - A REVIEW
- Assistant Professor, Civil Engineering, Vidyavardhaka College of Engineering, Mysore, India.
- Assistant Professor, Computer Scienceand Engineering, Vidyavardhaka College of Engineering, Mysore, India.
Abstract
Concrete mix proportioning is one of the critical process and it involves a lot of precautionary measures to arrive at the right proportions of ingredients like cement, aggregate, water, and admixtures. Even though there are technical specifications that are managed mix proportionating, the procedure is not totally in the realm of science. Due to imprecise codal provisions, impreciseness, and fuzziness involved in the various stages of mix proportioning. This paper reviews the various data mining and machine learning techniques developed by the researchers for making concrete mix design for various codal provisions more realistic and scientific.
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How to Cite This Article
Rajeeth T.J., Pavan Kumar S.P. and Swathi B. H. (2021); PREDICTION OF CONCRETE MIX DESIGN USING DATA MINING TECHNIQUES - A REVIEW, Int. J. of Adv. Res., 9 (05), 324-330, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/12839
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