Application of Machine Learning Techniques for Predicting Compressive, Splitting Tensile, and Flexural Strengths of Concrete with Metakaolin

The mechanical properties of concrete are the important parameters in a design code. The amount of laboratory trial batches and experiments required to produce useful design data can be decreased by using robust prediction models for the mechanical properties of concrete, which can save time and mon...

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Detalles Bibliográficos
Autores principales: Shah, Hammad Ahmed, Yuan, Qiang, Akmal, Usman, Shah, Sajjad Ahmad, Salmi, Abdelatif, Awad, Youssef Ahmed, Shah, Liaqat Ali, Iftikhar, Yusra, Javed, Muhammad Haris, Khan, Muhammad Imtiaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369826/
https://www.ncbi.nlm.nih.gov/pubmed/35955370
http://dx.doi.org/10.3390/ma15155435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369826/
https://www.ncbi.nlm.nih.gov/pubmed/35955370
http://dx.doi.org/10.3390/ma15155435

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