Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams

Predicting the punching shear strength (PSS) of fiber-reinforced polymer reinforced concrete (FRP-RC) beams is a critical task in the design and assessment of reinforced concrete structures. This study utilized three meta-heuristic optimization algorithms, namely ant lion optimizer (ALO), moth flame...

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Detalles Bibliográficos
Autores principales: Yang, Peixi, Li, Chuanqi, Qiu, Yingui, Huang, Shuai, Zhou, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10254300/
https://www.ncbi.nlm.nih.gov/pubmed/37297168
http://dx.doi.org/10.3390/ma16114034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10254300/
https://www.ncbi.nlm.nih.gov/pubmed/37297168
http://dx.doi.org/10.3390/ma16114034

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