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

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Опубликовано в::	Archives of Computational Methods in Engineering vol. 32, no. 1 (Jan 2025), p. 571
Главный автор:	Kazemi, Farzin
Другие авторы:	Asgarkhani, Neda, Shafighfard, Torkan, Jankowski, Robert, Yoo, Doo-Yeol
Опубликовано:	Springer Nature B.V.
Предметы:	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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