Prediction of Compressive Strength of Sustainable Foam Concrete Using Individual and Ensemble Machine Learning Approaches

The entraining and distribution of air voids in the concrete matrix is a complex process that makes the mechanical properties of lightweight foamed concrete (LFC) highly unpredictable. To study the complex nature of aerated concrete, a reliable and robust prediction model is required, employing diff...

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Detalles Bibliográficos
Autores principales: Ullah, Haji Sami, Khushnood, Rao Arsalan, Farooq, Furqan, Ahmad, Junaid, Vatin, Nikolai Ivanovich, Ewais, Dina Yehia Zakaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102231/
https://www.ncbi.nlm.nih.gov/pubmed/35591498
http://dx.doi.org/10.3390/ma15093166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102231/
https://www.ncbi.nlm.nih.gov/pubmed/35591498
http://dx.doi.org/10.3390/ma15093166

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