Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

Abstract The use of naturally available materials such as metakaolin (MK) can greatly reduce the utilization of emission intensive materials like cement in the construction sector. This would reduce the stress on depleting natural resources and foster a sustainable construction industry. However, th...

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Bibliographic Details
Main Authors: Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Scientific Reports
Subjects:
Cement mortar
Metakaolin
Interpretable machine learning
Gene expression programming
Compressive strength
Online Access:https://doi.org/10.1038/s41598-025-01327-1
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https://doi.org/10.1038/s41598-025-01327-1

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