Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers

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Detalles Bibliográficos
Publicado en:	Archives of Computational Methods in Engineering vol. 32, no. 1 (Jan 2025), p. 571
Autor principal:	Kazemi, Farzin
Otros Autores:	Asgarkhani, Neda, Shafighfard, Torkan, Jankowski, Robert, Yoo, Doo-Yeol
Publicado:	Springer Nature B.V.
Materias:	Load Mechanical properties Performance evaluation Regression analysis Concrete Optimization Civil engineering Industry 4.0 Structural engineering Structural design Machine learning Research & development > R&D Composite materials Polymers Fiber reinforced polymers Tensile strength Wind power Reinforced concrete Artificial intelligence Fiber reinforced plastics Neural networks Support vector machines Industrial applications Algorithms Seismic engineering Decision trees Process parameters
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