Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

One of the most important industries and building operations that cause carbon dioxide emissions is the cement and concrete-related industries that consume about 6 million Btus per metric ton and release about 1 metric ton CO2. Reducing cement consumption while using nanomaterials as cement replacem...

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Bibliographic Details
Main Authors: Ahmed Mohammed, Serwan Rafiq, Wael Mahmood, Hind Al-Darkazalir, Riyadh Noaman, Warzer Qadir, Kawan Ghafor
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Ain Shams Engineering Journal
Subjects:
Nanoclay content
Temperature
Microstructure tests
Rheology
Strength
Modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447920302264

Internet

http://www.sciencedirect.com/science/article/pii/S2090447920302264

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