Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluation

Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluation

This research aims to assess the rheological and mechanical characteristics of Self-compacting concrete (SCC) incorporating waste tire rubber aggregates (WRTA) as an interim substitute for coarse aggregates. However, the standard experimental modeling approach has significant obstacles when it comes...

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Bibliographic Details
Main Authors: Md. Habibur Rahman Sobuz, Limon Paul Joy, Abu Sayed Mohammad Akid, Fahim Shahriyar Aditto, Jannat Ara Jabin, Noor Md. Sadiqul Hasan, Md Montaseer Meraz, Md. Kawsarul Islam Kabbo, Shuvo Dip Datta
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Waste tire
Rubberized concrete
Self-compacting rubberized concrete
Rheological properties
Mechanical properties
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024038246

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024038246

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