Cargando…
Machine Learning-Based Evaluation of Shear Capacity of Recycled Aggregate Concrete Beams
Recycled aggregate concrete (RAC) is a promising solution to address the challenges raised by concrete production. However, the current lack of pertinent design rules has led to a hesitance to accept structural members made with RAC. It would entail even more difficulties when facing application sce...
Autores principales: | Yu, Yong, Zhao, Xinyu, Xu, Jinjun, Chen, Cheng, Deresa, Simret Tesfaye, Zhang, Jintuan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602073/ https://www.ncbi.nlm.nih.gov/pubmed/33066320 http://dx.doi.org/10.3390/ma13204552 |
Ejemplares similares
-
Shear Capacity Evaluation of the Recycled Concrete Beam
por: Yang, Qiuwei, et al.
Publicado: (2022) -
Shear Performance of Reinforced Concrete Beams Affected by Satisfactory Composite-Recycled Aggregates
por: Li, Changyong, et al.
Publicado: (2020) -
Shear Strength of Fiber Reinforced Recycled Aggregate Concrete
por: Ghoneim, Mohamed, et al.
Publicado: (2020) -
Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
por: Kumar, Aman, et al.
Publicado: (2023) -
Statistical and Reliability Study on Shear Strength of Recycled Coarse Aggregate Reinforced Concrete Beams
por: Ju, Hyunjin, et al.
Publicado: (2021)