Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning

Accurately predicting key engineering properties, such as compressive and tensile strength, remains a significant challenge in high-performance concrete (HPC) due to its complex and heterogeneous composition. Early selection of optimal components and the development of reliable machine learning (ML)...

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Bibliographic Details
Main Authors: Muhammad Salman Khan, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Materials
Subjects:
high performance concrete
machine learning
ensemble learning algorithm
SHAP
Optuna
compressive strength
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2025.1542655/full
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https://www.frontiersin.org/articles/10.3389/fmats.2025.1542655/full

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