Experimental investigation on fresh, hardened and durability characteristics of partially replaced E-waste plastic concrete: A sustainable concept with machine learning approaches
Md Hamidul Islam, Zannatun Noor Prova, Md. Habibur Rahman Sobuz, Nusrat Jahan Nijum, Fahim Shahriyar Aditto
Abstract
) values, the linear regression (LR) model predicted mechanical property outcomes more accurately than the random forest (RF) model. The electrical resistivity test showed better results increased range of 239.06 %-478.82 %. The findings of the water permeability test improved when the quantity of e-waste plastic was increased by 15 %. In terms of all the percentage results, the 15 % replacement produced the best results and produced a sustainable construction material.
Topics & Concepts
DurabilityPlastic wasteMaterials scienceEngineeringWaste managementForensic engineeringConstruction engineeringComposite materialRecycled Aggregate Concrete PerformanceInnovative concrete reinforcement materialsInnovations in Concrete and Construction Materials