Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning

Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning

Abstract Physics-informed modeling (PIM) using advanced machine learning (ML) represents a paradigm shift in the field of concrete technology, offering a potent blend of scientific rigor and computational efficiency. By harnessing the synergies between physics-based principles and data-driven algori...

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Bibliographic Details
Main Authors: Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Recycled aggregate concrete
Splitting tensile strength
Physics-informed modeling
Sustainable construction
Concrete structures
Online Access:https://doi.org/10.1038/s41598-025-91980-3
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https://doi.org/10.1038/s41598-025-91980-3

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