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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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Kaydedildi:
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2025-02-01
Seri Bilgileri:Scientific Reports
Konular:
Recycled aggregate concrete
Splitting tensile strength
Physics-informed modeling
Sustainable construction
Concrete structures
Online Erişim:https://doi.org/10.1038/s41598-025-91980-3
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