Predicting the Early-Age Time-Dependent Behaviors of a Prestressed Concrete Beam by Using Physics-Informed Neural Network

This paper proposes a physics-informed neural network (PINN) for predicting the early-age time-dependent behaviors of prestressed concrete beams. The PINN utilizes deep neural networks to learn the time-dependent coupling among the effective prestress force and the several factors that affect the ti...

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Detalles Bibliográficos
Autores principales: Park, Hyun-Woo, Hwang, Jin-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383205/
https://www.ncbi.nlm.nih.gov/pubmed/37514943
http://dx.doi.org/10.3390/s23146649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383205/
https://www.ncbi.nlm.nih.gov/pubmed/37514943
http://dx.doi.org/10.3390/s23146649

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