Prediction of splitting tensile strength of fiber-reinforced recycled aggregate concrete utilizing machine learning models with SHAP analysis

The infrastructure industry utilizes a significant number of natural resources and produces a lot of construction waste, both of which have negative environmental effects. As a solution, recycled aggregate concrete has emerged as a practical substitute. Predicting strength accurately is essential fo...

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Detalhes bibliográficos

Principais autores:	Md Al Adnan, Muhammad Babur, Faisal Farooq, Mursaleen Shahid, Zamiul Ahmed, Pobithra Das
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
Colecção:	Hybrid Advances
Assuntos:	Splitting tensile strength Machine learning Recycled aggregate concrete Fiber-reinforced And SHapley additive exPlanations
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2773207X25001319
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