Compressive Strength of Steel Fiber-Reinforced Concrete Employing Supervised Machine Learning Techniques

Recently, research has centered on developing new approaches, such as supervised machine learning techniques, that can compute the mechanical characteristics of materials without investing much effort, time, or money in experimentation. To predict the 28-day compressive strength of steel fiber–reinf...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yongjian, Zhang, Qizhi, Kamiński, Paweł, Deifalla, Ahmed Farouk, Sufian, Muhammad, Dyczko, Artur, Kahla, Nabil Ben, Atig, Miniar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228203/
https://www.ncbi.nlm.nih.gov/pubmed/35744270
http://dx.doi.org/10.3390/ma15124209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228203/
https://www.ncbi.nlm.nih.gov/pubmed/35744270
http://dx.doi.org/10.3390/ma15124209

Ejemplares similares