Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

Modeling of Mechanical Properties of Silica Fume-Based Green Concrete Using Machine Learning Techniques

Silica fume (SF) is a frequently used mineral admixture in producing sustainable concrete in the construction sector. Incorporating SF as a partial substitution of cement in concrete has obvious advantages, including reduced CO<sub>2</sub> emission, cost-effective concrete, enhanced dura...

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Bibliographic Details
Main Authors: Afnan Nafees, Muhammad Nasir Amin, Kaffayatullah Khan, Kashif Nazir, Mujahid Ali, Muhammad Faisal Javed, Fahid Aslam, Muhammad Ali Musarat, Nikolai Ivanovich Vatin
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Polymers
Subjects:
green concrete
industrial waste
predictive modeling
machine learning
cross-validation
sensitivity analysis
Online Access:https://www.mdpi.com/2073-4360/14/1/30

Internet

https://www.mdpi.com/2073-4360/14/1/30

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