Engineering properties of concrete incorporating waste glass as natural sand substitution with tin can fiber: experimental and ANN application

Abstract Disposal of waste material is causing environmental issues all around the world. Waste glass and tin can are two such products that impose detrimental effects on environment. One feasible approach to utilize these discarded materials as constituents concrete. This study investigates performance concrete prepared with fine aggregate (GWA) fiber (TCF) in terms workability, fresh density, compressive, splitting tensile strength desired properties. An Artificial Neural Network (ANN) has been adopted for developing predictive models simulate impact Experimental findings demonstrate worability mix decreases increasing GWA TCF contents mix. Increasing percentages results an increase density concrete; however, a declining pattern observed percentage Compressive at curing ages shows positive trends till 20% 1% incorporation Similar up 10% 0.5% TCF. Constructed prediction properties verified by various statistical parameters. Sensitivity analysis reports greater influence than GWA.