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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Bibliografiske detaljer

Principais autores:	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:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2025-02-01
Serier:	Scientific Reports
Fag:	Recycled aggregate concrete Splitting tensile strength Physics-informed modeling Sustainable construction Concrete structures
Online adgang:	https://doi.org/10.1038/s41598-025-91980-3
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