Predicting Compressive Strength of Blast Furnace Slag and Fly Ash Based Sustainable Concrete Using Machine Learning Techniques: An Application of Advanced Decision-Making Approaches

Predicting Compressive Strength of Blast Furnace Slag and Fly Ash Based Sustainable Concrete Using Machine Learning Techniques: An Application of Advanced Decision-Making Approaches

The utilization of waste industrial materials such as Blast Furnace Slag (BFS) and Fly Ash (F. Ash) will provide an effective alternative strategy for producing eco-friendly and sustainable concrete production. However, testing is a time-consuming process, and the use of soft machine learning (ML) t...

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Bibliographic Details
Main Authors: Syyed Adnan Raheel Shah, Marc Azab, Hany M. Seif ElDin, Osama Barakat, Muhammad Kashif Anwar, Yasir Bashir
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Buildings
Subjects:
sustainability
reinforced concrete
industrial wastes
compressive strength
green and sustainable concrete
high performance concrete
Online Access:https://www.mdpi.com/2075-5309/12/7/914

Internet

https://www.mdpi.com/2075-5309/12/7/914

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