Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models

An accurate calculation of the flexural capacity of flexural members is vital for the safe and economical design of FRP reinforced structures. The existing empirical models are not accurately calculating the flexural capacity of beams and columns. This study investigated the estimation of the flexur...

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Detalles Bibliográficos
Autores principales: Khan, Kaffayatullah, Iqbal, Mudassir, Salami, Babatunde Abiodun, Amin, Muhammad Nasir, Ahamd, Izaz, Alabdullah, Anas Abdulalim, Arab, Abdullah Mohammad Abu, Jalal, Fazal E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9183020/
https://www.ncbi.nlm.nih.gov/pubmed/35683942
http://dx.doi.org/10.3390/polym14112270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9183020/
https://www.ncbi.nlm.nih.gov/pubmed/35683942
http://dx.doi.org/10.3390/polym14112270

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