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Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks Cover

Evaluating Concrete Strength Under Various Curing Conditions Using Artificial Neural Networks

Nordic Concrete Research
Volume 71 (2024): Issue 2 (December 2024)
By: Majid Al-Gburi,  Asaad Almssad and  Osamah Ibrahim Al-Zuhairi  
Open Access
|Jan 2025

Authors

Majid Al-Gburi

majid.algburi@ntu.edu.iq

Building and Construction Techniques Engineering, Northern Technical University, Mosul, Iraq

Asaad Almssad

asaad.almssad@kau.se

Department of Engineering and Chemical Sciences, Karlstad University, Karlstad, Sweden

Osamah Ibrahim Al-Zuhairi

Osamah.i@coeng.uobaghdad.edu.iq

Department of Water Resources Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq
DOI: https://doi.org/10.2478/ncr-2024-0007 | Journal eISSN: 2545-2819 | Journal ISSN: 0800-6377
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Language: English
Page range: 1 - 23
Submitted on: Apr 23, 2024
Accepted on: Jul 23, 2024
Published on: Jan 9, 2025
Published by: Nordic Concrete Federation
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Concrete strength,
artificial neural network models,
parametric analysis,
temperature effects
Related subjects:
Materials sciences,
Materials processing

© 2025 Majid Al-Gburi, Asaad Almssad, Osamah Ibrahim Al-Zuhairi, published by Nordic Concrete Federation
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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