A Review on Concrete Strength Prediction Models Based on Machine Learning Algorithms

Authors

  • Er.Tushant Seth M.Tech. Scholar, Department of Civil Engineering, RIMT University, Mandi Gobindgarh, Punjab, India Author
  • Dr Sandeep Singla Professor & Head, Department of Civil Engineering, RIMT University, Mandi Gobindgarh, Punjab, India Author

DOI:

https://doi.org/10.55524/ijirem.2023.10.1.11

Keywords:

Concrete Strength Prediction, Machine Learning Algorithms

Abstract

In the present time, machine learning  algorithms are used for design concreate strength  prediction models due to numerous advantages over the  manual methods such as cost and time effective and more  effectively predict the strength based on the historical  information. Therefore, the main aim of this paper, is to  study and analyse the various machine learning algorithms  are used to design concrete strength prediction model. In  the literature, last five years paper is taken under  consideration. Based on literature survey, open research  gaps are defined which helps the other authors to  contribute their research in this area. 

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References

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Published

2023-02-28

Issue

Vol. 10 No. 1 (2023): International Journal of Innovative Research in Engineering & Management (Feb) 2023

Section

Articles

How to Cite

A Review on Concrete Strength Prediction Models Based on Machine Learning Algorithms . (2023). International Journal of Innovative Research in Engineering & Management, 10(1), 55–58. https://doi.org/10.55524/ijirem.2023.10.1.11
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