Simplified Regression Model to Predict the Strength of Reinforced Sand with Waste Polystyrene Plastic Type

Abstract

A proposed regression model was developed based on experimental data using regression analysis method to predict the strength of sand reinforced with strips of waste polystyrene plastic type. Three different variables were studied to investigate the behavior and strength of reinforced sandy soil with waste plastic strips. These are the content, size and aspect ratio of plastic strips. For this purpose, a series of unconfined compression and splitting tensile tests were conducted on unreinforced and reinforced sand specimens. Test results showed that using strips of waste plastic polystyrene type improved the strength of the tested soil. Increasing content of waste plastic has a more significant effect on the enhancement of splitting tensile strength compared to the enhancement of compressive strength. Content, size and aspect ratio of waste plastic strips have significant effects on the improvement of strength. Utilization of such waste plastic type, which polystyrene, in this way will help in reducing the quantity of solid waste as well as reducing the cost of ground improvement. Results showed that multiple linear regression models can accurately predict the strength of sand reinforced with waste plastic strips within the range of the studied variables in this paper. Consequently, using such regression models will save time as well as reduce laboratory costs.