Prediction of Compressive Strength of Sustainable Foam Concrete Using Individual and Ensemble Machine Learning Approaches

Prediction of Compressive Strength of Sustainable Foam Concrete Using Individual and Ensemble Machine Learning Approaches

The entraining and distribution of air voids in the concrete matrix is a complex process that makes the mechanical properties of lightweight foamed concrete (LFC) highly unpredictable. To study the complex nature of aerated concrete, a reliable and robust prediction model is required, employing diff...

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Bibliographic Details
Main Authors: Haji Sami Ullah, Rao Arsalan Khushnood, Furqan Farooq, Junaid Ahmad, Nikolai Ivanovich Vatin, Dina Yehia Zakaria Ewais
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Materials
Subjects:
sustainable concrete
foamed concrete
compressive strength
machine learning
artificial intelligence
ensemble learners
Online Access:https://www.mdpi.com/1996-1944/15/9/3166

Internet

https://www.mdpi.com/1996-1944/15/9/3166

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