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PREDICTION OF RECYCLED CONCRETE AGGREGATE SELF COMPACTING CONCRETE COMPRESSIVE STRENGTH USING MATHEMATICAL MODEL

Srinivas Vasam, K. Jagannadha Rao, M.V. Seshagiri Rao

Abstract


Sustainable Development aims at improving the standard of life without compromising the environmental qualities and for future needs. These objectives can be achieved through recycling of construction/demolished waste. In Past, land filling of Construction and Demolished waste materials was the general solution. As raw Construction Material Charges have risen dramatically, we have to look for alternative solutions and methods, such as recycling of demolished waste.

 

Recycled Aggregate Concrete not only solves the problem of Construction and Demolition waste disposal, but also conserves the use of natural resources in effective manner to maintain ecological balance. Thus, Recycled Aggregate Concrete has become potential material of construction industry, and it requires all attention in terms of focused research to explore it fully.

 

In the present study, RCA was used as partial and full replacements of NA to produce self-consolidating concrete (SCC). Different SCC mixes were produced with RCA substituting 0%, 25%, 50%, 75%, and 100% NA by weight. The present study aims at developing a mathematical model / Empirical model/ Multiple Regression Analysis proposed to estimate to predict the compressive strength of NASCC & RASCC different grades of concrete with different proportions of RCA. The Empirical model developed resulted in predicting the compressive strength of SCC with Recycled Aggregate Concrete(RASCC) mixes with a maximum error of 10.9% which is within acceptable limit considering the heterogeneity of concrete mixtures and certain limitations of experimental work. Further, the present study has also established a close correlation between theoretical (predicted) and experimental values of compressive strength having correlation coefficient value of 0.98.


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