Prediction of Compressive Strength of Partially Saturated Concrete Using Machine Learning Methods

The aim of this research is to recommend a set of criteria for estimating the compressive strength of concrete under marine environment with various saturation and salinity conditions. Cylindrical specimens from three different design mixtures are used as concrete samples. The specimens are subjecte...

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Detalles Bibliográficos
Autores principales: Candelaria, Ma. Doreen Esplana, Kee, Seong-Hoon, Lee, Kang-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911506/
https://www.ncbi.nlm.nih.gov/pubmed/35268896
http://dx.doi.org/10.3390/ma15051662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911506/
https://www.ncbi.nlm.nih.gov/pubmed/35268896
http://dx.doi.org/10.3390/ma15051662

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