Cargando…
An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset
By conducting an analysis of chloride migration in concrete, it is possible to enhance the durability of concrete structures and mitigate the risk of corrosion. In addition, the utilization of machine learning techniques that can effectively forecast the chloride migration coefficient of concrete sh...
Autores principales: | Hosseinzadeh, Maedeh, Mousavi, Seyed Sina, Hosseinzadeh, Alireza, Dehestani, Mehdi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497559/ https://www.ncbi.nlm.nih.gov/pubmed/37700062 http://dx.doi.org/10.1038/s41598-023-42270-3 |
Ejemplares similares
-
A comprehensive quantitative bottom-up analysis of fiber-reinforced recycled-aggregate concrete behavior
por: Hosseinzadeh, Maedeh, et al.
Publicado: (2023) -
On the possibility of using waste disposable gloves as recycled fibers in sustainable 3D concrete printing using different additives
por: Mousavi, Seyed Sina, et al.
Publicado: (2023) -
Domestic violence risk prediction in Iran using a machine learning approach by analyzing Persian textual content in social media
por: Salehi, Meysam, et al.
Publicado: (2023) -
Prediction of the Chloride Resistance of Concrete Modified with High Calcium Fly Ash Using Machine Learning
por: Marks, Michał, et al.
Publicado: (2015) -
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
por: Kassania, Sara Hosseinzadeh, et al.
Publicado: (2021)