Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model
Author(s): |
Mohammed Majeed Hameed
Mustafa Abbas Abed Nadhir Al-Ansari Mohamed Khalid AlOmar |
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Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, January 2022, v. 2022 |
Page(s): | 1-19 |
DOI: | 10.1155/2022/5586737 |
Abstract: |
In the construction and cement manufacturing sectors, the development of artificial intelligence models has received remarkable progress and attention. This paper investigates the capacity of hybrid models conducted for predicting the compressive strength (CS) of concrete where the cement was partially replaced with ground granulated blast-furnace slag ( |
Copyright: | © Mohammed Majeed Hameed et al. et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10663906 - Published on:
09/05/2022 - Last updated on:
01/06/2022