STUDY ON CONSEQUENCE OF E WASTE ON STRENGTH OF SELF HEALING CONCRETE

The two objectives are to increase concrete's qualities while lowering construction costs. Additionally, e-waste is a global issue that affects both wealthy and underdeveloped countries. The reason is that, except from a few conventional methods, there is no alternative way to dispose of electronic waste. E-waste is typically disposed of by incineration or landfill, but landfills require a large land area and can also seep pollutants into the groundwater. In contrast, burning produces air pollution. Therefore, incorporating E-Waste in concrete is a better concept than using these conventional techniques. Several researchers have studied the use of E-Waste in concrete. They conduct strength and durability tests on the E-Waste they use as coarse aggregate, fine aggregate, admixture, and other materials in their study. Research suggests that raw resources could be substituted by e-waste. In the current study, ABS plastic is used in various percentages to replace coarse aggregate, including 5%, 10%, 15%, and 20%. A concrete structure's lifespan is between 50 and 100 years. But ten years after completion, and occasionally much sooner, the structure begins to deteriorate. After a given number of years, the structure develops little cracks that might either be structural or superficial. Multiple studies have suggested bacterial self-healing concrete as a solution to this problem. Numerous works have studied the self-healing capabilities of concrete, thus in this paper we analyze the strength characteristics of self-healing bacterial concrete by mixing bacteria (Bacillus Subtilis) with calcium source.Calcium lactate was supplied as a calcium source at 5% and 10%, respectively, while Bacillus subtilis bacteria were added at 3% and 5%, respectively, in the study. Therefore, the study addresses the economic aspects of both building and upkeep. A comparison of earlier studies using ANN and MLR models in relation to e-plastic waste as coarse aggregate demonstrates that ANN model is significantly more accurate in predicting the strength of e-plastic waste concrete than MLR model.

Key Words: E-Waste ,Calcium Lactate, Bacillus Subtilis, e-plastic waste, Single, MLR model.