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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

Open Access
|Dec 2024

Authors

Souheyla Benamar

souheyla.benamar@univ-temouchent.edu.dz

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-Témouchent, Aïn-Témouchent, Algeria

Zine El Abidine Kameche

zkameche@univ-temouchent.edu.dz

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-Témouchent, Aïn-Témouchent, Algeria

Sidi Mohamed Aissa Mamoune

mamoune@univ-temouchent.edu.dz

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-Témouchent, Aïn-Témouchent, Algeria

Hocine Siad

hsiad@ryerson.ca

Dept. of Civil Engineering, Toronto Metropolitan University, Canada

Youcef Houmadi

houmadiyoucef@yahoo.fr

Smart Structures Laboratory (SSL), Aïn-Témouchent University, Department of Civil Engineering, Tlemcen University, Tlemcen, Algeria
Language: English
Page range: 35 - 55
Published on: Dec 13, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 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.