Cargando…
Data-driven prediction of the shear capacity of ETS-FRP-strengthened beams in the hybrid 2PKT–ML approach
A new approach that combines analytical two-parameter kinematic theory (2PKT) with machine learning (ML) models for estimating the shear capacity of embedded through-section (ETS)-strengthened reinforced concrete (RC) beams is proposed. The 2PKT was first developed to validate its representativeness...
Autores principales: | Tran, Thai Son, Stitmannaithum, Boonchai, Van Hong Bui, Linh, Nguyen, Thanh-Truong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646016/ https://www.ncbi.nlm.nih.gov/pubmed/37963991 http://dx.doi.org/10.1038/s41598-023-47064-1 |
Ejemplares similares
-
Influence of Cross-Section Shape and FRP Reinforcement Layout on Shear Capacity of Strengthened RC Beams
por: Ahmed, Muhammad, et al.
Publicado: (2022) -
Structural Performance of EB-FRP-Strengthened RC T-Beams Subjected to Combined Torsion and Shear Using ANN
por: Amini Pishro, Ahad, et al.
Publicado: (2022) -
Patient-mediated knowledge translation (PKT) interventions for clinical encounters: a systematic review
por: Gagliardi, Anna R., et al.
Publicado: (2016) -
Flax, Basalt, E-Glass FRP and Their Hybrid FRP Strengthened Wood Beams: An Experimental Study
por: Wang, Bo, et al.
Publicado: (2019) -
Strengthening of Reinforced Concrete Non-Circular Columns with FRP
por: Yardim, Yavuz, et al.
Publicado: (2023)