Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars
, , , oraz
13 gru 2024
O artykule
Data publikacji: 13 gru 2024
Zakres stron: 35 - 55
DOI: https://doi.org/10.2478/mmce-2023-0009
Słowa kluczowe
© 2023 Souheyla Benamar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Benamar, Souheyla
Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
Kameche, Zine El Abidine
Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
Mamoune, Sidi Mohamed Aissa
Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
Siad, Hocine
Dept. of Civil Engineering, Toronto Metropolitan UniversityCanada
Houmadi, Youcef
Smart Structures Laboratory (SSL), Aïn-Témouchent University, Department of Civil Engineering, Tlemcen UniversityTlemcen, Algeria