Machine learning prediction and explainability analysis of high strength glass powder concrete using SHAP PDP and ICE

Machine learning prediction and explainability analysis of high strength glass powder concrete using SHAP PDP and ICE

Abstract Achieving high-strength concrete (HSC) with sustainable supplementary cementitious materials (SCMs) remains a significant challenge in the construction industry. Although glass powder has shown promise as a partial cement substitute, its specific impact on HSC growth is still unclear. This...

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Bibliographic Details
Main Authors: Muhammad Sarmad Mahmood, Tariq Ali, Inamullah Inam, Muhammad Zeeshan Qureshi, Syed Salman Ahmad Zaidi, Muwaffaq Alqurashi, Hawreen Ahmed, Muhammad Adnan, Abdul Hakim Hotak
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
High-strength concrete
Glass powder concrete
Machine learning
Hybrid optimization
SHAP analysis
Online Access:https://doi.org/10.1038/s41598-025-04762-2
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https://doi.org/10.1038/s41598-025-04762-2

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