Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability

Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability

Abstract The rapid increase in global waste production, particularly Polymer wastes, poses significant environmental challenges because of its nonbiodegradable nature and harmful effects on both vegetation and aquatic life. To address this issue, innovative construction approaches have emerged, such...

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Main Authors: Sathvik Sharath Chandra, Rakesh Kumar, Archudha Arjunasamy, Sakshi Galagali, Adithya Tantri, Sujay Raghavendra Naganna
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Mix proportion
Polymer brick
Waste materials
Artificial neural network
Support vector machine
AdaBoost
Online Access:https://doi.org/10.1038/s41598-025-89606-9
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https://doi.org/10.1038/s41598-025-89606-9

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