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

Souheyla Benamar

Souheyla Benamar

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
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Benamar, Souheyla
, 
Zine El Abidine Kameche

Zine El Abidine Kameche

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
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Kameche, Zine El Abidine
, 
Sidi Mohamed Aissa Mamoune

Sidi Mohamed Aissa Mamoune

Smart Structures Laboratory (SSL), Dept. of Civil Engineering & Public Works, University of Aïn-TémouchentAïn-Témouchent, Algeria
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Mamoune, Sidi Mohamed Aissa
, 
Hocine Siad

Hocine Siad

Dept. of Civil Engineering, Toronto Metropolitan UniversityCanada
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Siad, Hocine
 and 
Youcef Houmadi

Youcef Houmadi

Smart Structures Laboratory (SSL), Aïn-Témouchent University, Department of Civil Engineering, Tlemcen UniversityTlemcen, Algeria
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Houmadi, Youcef
  
Dec 13, 2024
Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars's Cover Image
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Published Online: Dec 13, 2024
Page range: 35 - 55
DOI: https://doi.org/10.2478/mmce-2023-0009
Keywords
© 2023 Souheyla Benamar et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Language:
English
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4 times per year
Journal Subjects:
Engineering, Introductions and Overviews, Engineering, other
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