Experimental investigation on fresh, hardened and durability characteristics of partially replaced E-waste plastic concrete: A sustainable concept with machine learning approaches

Experimental investigation on fresh, hardened and durability characteristics of partially replaced E-waste plastic concrete: A sustainable concept with machine learning approaches

The rapid global expansion of e-waste poses significant environmental and health risks, making it crucial to find sustainable uses and mitigate its harmful effects. The significance of this research is to look into the impact of e-waste as a possible substitute for natural coarse aggregates (NCA) on...

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Bibliographic Details
Main Authors: Md. Hamidul Islam, Zannatun Noor Prova, Md. Habibur Rahman Sobuz, Nusrat Jahan Nijum, Fahim Shahriyar Aditto
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Electronic waste
Sustainable concept
Mechanical properties
Machine learning approaches
Durability properties
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025003044
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