Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques

Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques

Ordinary Portland cement (OPC) is proving to be hazardous to the environment. To replace the OPC, geopolymers (GPs) are introduced. However, to fully replace the OPC by GPs extensive laboratory tests are required to assess the long-term and short-term properties of GPs in different scenarios. Given...

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Bibliographic Details
Main Authors: Yejia Wang, Ammar Iqtidar, Muhammad Nasir Amin, Sohaib Nazar, Ahmed M. Hassan, Mujahid Ali
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Machine learning
Artificial intelligence
Geopolymers
Fly ash
Ground granulated blast furnace slag
Online Access:http://www.sciencedirect.com/science/article/pii/S221450952400281X

Internet

http://www.sciencedirect.com/science/article/pii/S221450952400281X

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