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Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars Cover

Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars

Modelling in Civil Environmental Engineering
Volume 18 (2023): Issue 2 (October 2023)
By: Souheyla Benamar,  Zine El Abidine Kameche,  Sidi Mohamed Aissa Mamoune,  Hocine Siad and  Youcef Houmadi  
Open Access
|Dec 2024
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DOI: https://doi.org/10.2478/mmce-2023-0009 | Journal eISSN: 2784-1391
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Language: English
Page range: 35 - 55
Published on: Dec 13, 2024
Published by: Technical University of Civil Engineering of Bucharest
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
mortar,
carbonation depth prediction,
artificial neural network,
metakaolin,
brick powder,
calcined sediments
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Souheyla Benamar, Zine El Abidine Kameche, Sidi Mohamed Aissa Mamoune, Hocine Siad, Youcef Houmadi, published by Technical University of Civil Engineering of Bucharest
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2023): Issue 2 (October 2023)
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