Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach

Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach

Several advantages of supplementary cementitious materials (SCMs) have led to widespread use in the concrete industry. Many various SCMs with different characteristics are used to produce sustainable concrete. Each of these materials has its specific properties and therefore plays a different role i...

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Bibliographic Details
Main Authors: Nozar Moradi, Mohammad Hadi Tavana, Mohammad Reza Habibi, Moslem Amiri, Mohammad Javad Moradi, Visar Farhangi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Materials
Subjects:
machine learning
metakaolin
mechanical property
fly ash
zeolite
Online Access:https://www.mdpi.com/1996-1944/15/15/5336

Internet

https://www.mdpi.com/1996-1944/15/15/5336

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