Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) analysis

Evaluating the relevance of eggshell and glass powder for cement-based materials using machine learning and SHapley Additive exPlanations (SHAP) analysis

This study used machine learning methods to predict the water absorption (W-A) of cement-based material (CBM) containing eggshell and glass powder as sand and cement substitutes. A dataset from the laboratory experiments consisting of 234 points and seven input variables was used to develop models,...

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Bibliographic Details
Main Authors: Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, Sohaib Nazar, Abdullah Mohammad Abu Arab, Ahmed Farouk Deifalla
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Construction Materials
Subjects:
Eggshell waste
Glass waste
Water absorption
Machine learning
Prediction models
SHAP analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509523004588

Internet

http://www.sciencedirect.com/science/article/pii/S2214509523004588

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