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Disposal of plastic waste in an environment is considered to be a big problem due to its very low biodegradability and presence in large quantities. In recent time use of such, Industrial wastes from polypropylene (PP) and polyethylene terephthalate (PET) were studied as alternative replacements of a part of the conventional aggregates of concrete. Plastic recycling was taking place on a significant scale in an India. As much as 60 % of both industrial and urban plastic waste is recycled which obtained from various sources. People in India have released plastic wastes on large scale have huge economic value, as a result of this, recycling of waste plastics plays a major role in providing employment.

Ultrasonic Pulse Velocity (UPV) and Rebound Hammer (RH) are continually adopted methods by the researchers to assess the characteristics and to estimate the compressive strength of the concrete. As matrix of concrete is very complex, it’s obvious that the strength of concrete can be influenced due to even minor change in any of the factor. The factors that influenced the strength of concrete largely are the type and size of aggregates, cement content, physical and mechanical factors. To evaluate the compressive strength considering these factors with higher precision, UPV and RH methods are combined henceforth called SonReb. The results of testing of on-site casted cube samples and cores samples taken from the existing buildings in Pune, India are presented here. The application of the regression model to observe destructive and non-destructive testing were used through SonReb method to evaluate the reliability of concrete. Equations are obtained using multiple regression statistical analysis (MRSA) to access concrete compressive strength and the accuracy of the strength prediction technique is discussed in this paper. The regression curve of proposed model strongly consistent with the models suggested by Meynink, Ramyar et al. and Khedar et.al. It is also concluded that the results obtained from core are underestimate, which reflects the age factor when compared with the samples tested in laboratory. It is also seen that the regression coefficient of both the formulation are closely matching, which indicates no effect of age of samples tested. SonReb results seems to be more accurate and reliable than any individual test performed on the same samples.

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