Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars
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
Youcef Houmadi
Smart Structures Laboratory (SSL), Aïn-Témouchent University, Department of Civil Engineering, Tlemcen University, Tlemcen, Algeria
DOI: https://doi.org/10.2478/mmce-2023-0009 | Journal eISSN: 2784-1391
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:
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© 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.