Data-driven approaches for strength prediction of alkali-activated composites

Data-driven approaches for strength prediction of alkali-activated composites

Alkali-activated composites (AACs) have attracted considerable interest as a promising alternative to reduce CO2 emissions from Portland cement production and advance the decarbonisation of concrete construction. This study describes the data-driven predictive modelling to anticipate the compressive...

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Bibliographic Details
Main Authors: Mohammed Awad Abuhussain, Ayaz Ahmad, Muhammad Nasir Amin, Fadi Althoey, Yaser Gamil, Taoufik Najeh
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Alkali-activated composites
Input parameters
Compressive strength
Prediction
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524000718

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http://www.sciencedirect.com/science/article/pii/S2214509524000718

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