• Jay Vilas Kannao

Construction industry is upgrading towards the efficient work done by using statistical data and prediction of compressive strength of concrete by using “ Machine Learning” which is based on the mixed proportions, on an account of its importance in construction sector, various studies has proven that the data can be made available to meet the demand of new innovative techniques in construction industry, the research was based from the minimum sets of data in laboratory, predictive models are enforced to observe relationships between the mixture design variables and strength, and to develop estimate of about 28 days strength, the data from actual site and in laboratory are put into comparison and the compressive strength is examined. Furthermore, such samples are used to design optimal concrete mixtures that minimized the cost and embodied CO2 impact while satisfying imposed target strength.

Machine learning

"compressive strength of concrete-prediction by using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d834-d835, June-2021, Available :http://www.jetir.org/papers/JETIR2106526.pdf

"compressive strength of concrete-prediction by using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd834-d835, June-2021, Available at : http://www.jetir.org/papers/JETIR2106526.pdf