REGRESSION ANALYSIS USING SPSS FOR COMPRESSIVE STRENGTH OF CONCRETE CONTAINING QUARRY DUST AND WASTE PLASTIC AS SAND REPLACEMENT
Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.12, No. 04)Publication Date: 2021-04-30
Authors : B.V.Bahoria V.S.Vairagade;
Page : 141-150
Keywords : Natural sand; quarry dust; waste plastic; regression analysis; SPSS.;
Abstract
The extent of this research is to bring forward the industry taking into account the sustainable utilization of quarry dust, and to find out any gaps in present scenario. The idiom sustainable utilization intends the use of quarry dust to their full potential to deal with the needs of the present, on the contrary conserving natural resources and bring out solutions to minimize the environmental impacts related both with quarry fines production and its disposal. Concrete mixes were casted using ordinary river sand and compared with 25%, 50%, 75%, 100% replacement with quarry dust in combination with waste plastic in fabriform. The inclusion of quarry dust with waste plastic significantly improved the concrete matrix properties in terms of strength. Regression analysis and validation of the models developed was done to co-relate the results of compressive strength for 7, 14, 28, 90 days. The addition of fine quarry dust with ldpe as waste plastic in concrete resulted in improved matrix densification compared to conventional concrete. Fresh and hardened concrete properties have been tested on concrete containing natural sand along with quarry dust and waste plastic. An endeavor has been made to prepare mathematical models for predicting 14, 28, 90 days compressive strength of concrete. The results have been compared with that of SPSS software. The models so prepared have been validated and the error lies within the permissible limit of tolerance. It is concluded that quarry dust in addition to waste plastic as filler improves the mechanical properties of concrete
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Last modified: 2021-06-04 14:41:56