Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete

Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete

Numerous tests are used to determine the performance of concrete, but compressive strength (CS) is usually regarded as the most important. The recycled aggregate concrete (RAC) exhibits lower CS compared to natural aggregate concrete. Several variables, such as the water-cement ratio, the strength o...

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Bibliographic Details
Main Authors: Kaffayatullah Khan, Waqas Ahmad, Muhammad Nasir Amin, Fahid Aslam, Ayaz Ahmad, Majdi Adel Al-Faiad
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Materials
Subjects:
recycled concrete aggregate
compressive strength
green concrete
machine learning
decision tree
gradient boosting
Online Access:https://www.mdpi.com/1996-1944/15/10/3430

Internet

https://www.mdpi.com/1996-1944/15/10/3430

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