Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning

Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning

The incorporation of waste foundry sand (WFS) into concrete has been recognized as a sustainable approach to improve the strength properties of waste foundry sand concrete (WFSC). However, machine learning (ML) techniques are still necessary to forecast the characteristics of WFSC and evaluate the d...

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Bibliographic Details
Main Authors: Rayed Alyousef, Roz-Ud-Din Nassar, Majid Khan, Kiran Arif, Muhammad Fawad, Ahmed M. Hassan, Nivin A. Ghamry
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Waste foundry sand
Green concrete
Machine learning
Waste disposal
SHAP analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523006393

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http://www.sciencedirect.com/science/article/pii/S2214509523006393

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