Prediction of Properties of Sand Mixture with HDPE by MLR, EPR and Stepwise Models

Authors

Department of Civil Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran

10.22034/ceej.2024.55984.2242

Abstract

The main goal of this research is to present a suitable mathematical model using the MLR (Multiple Linear Regression), EPR (Evolutionary Polynomial Regression), and Stepwise statistical methods. This model aims to predict the relationship between the properties of sand mixed with High Density Polyethylene (HDPE) (as a waste additive material to soil), including the elastic modulus, the coefficient of compressibility, and lateral earth pressure coefficient at rest. The purpose of presenting this model is to reduce laboratory work, and consequently, reduce costs and time. Additionally, the present study focuses on designing and developing a set of models, fitting experimental results, and comparing the best models provided by EPR, MLR, and Stepwise, to find the best modeling approach.

Keywords

Main Subjects


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