Cargando…
Prediction of the shear capacity of ultrahigh-performance concrete beams using neural network and genetic algorithm
Currently, concrete structures have increasingly higher requirements for the shear capacity of beams, and ultrahigh-performance concrete (UHPC) beams are increasingly widely used. To facilitate the design of UHPC beams, this paper constructs a UHPC beam shear strength prediction model. First, static...
Autores principales: | Hou, Rui, Hou, Qi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905517/ https://www.ncbi.nlm.nih.gov/pubmed/36750644 http://dx.doi.org/10.1038/s41598-023-29342-0 |
Ejemplares similares
-
Shear Capacity Evaluation of the Recycled Concrete Beam
por: Yang, Qiuwei, et al.
Publicado: (2022) -
Prediction of the Interface Shear Strength between Ultra-High-Performance Concrete and Normal Concrete Using Artificial Neural Networks
por: Du, Changqing, et al.
Publicado: (2021) -
Experimental Study on Shear Capacity of Reinforced Concrete Beams with Corroded Longitudinal Reinforcement
por: Han, Sun-Jin, et al.
Publicado: (2019) -
Machine Learning-Based Evaluation of Shear Capacity of Recycled Aggregate Concrete Beams
por: Yu, Yong, et al.
Publicado: (2020) -
Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
por: Kumar, Aman, et al.
Publicado: (2023)