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Predicting the Plastic Rotational Capacity of Reinforced Concrete Elements Using Machine Learning Cover

Predicting the Plastic Rotational Capacity of Reinforced Concrete Elements Using Machine Learning

Modelling in Civil Environmental Engineering
Volume 20 (2025): Issue 1 (March 2025)
By: Andrei-Odey Kadhim and  Iolanda-Gabriela Craifaleanu  
Open Access
|Sep 2025

Authors

Andrei-Odey Kadhim

andrei.kadhim@utcb.ro

PhD Candidate, Technical University of Civil Engineering, Faculty of Civil, Industrial and Agricultural Buildings

Iolanda-Gabriela Craifaleanu

iolanda.craifaleanu@utcb.ro

Associate Professor, Dr. Habil., Technical University of Civil Engineering, Faculty of Civil, Industrial and Agricultural Buildings
DOI: https://doi.org/10.2478/mmce-2025-0002 | Journal eISSN: 2784-1391
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Language: English
Page range: 21 - 33
Published on: Sep 1, 2025
Published by: Technical University of Civil Engineering of Bucharest
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Seismic Design,
Machine Learning,
Plastic Rotational Capacity,
Reinforced Concrete,
Nonlinear Behavior
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Andrei-Odey Kadhim, Iolanda-Gabriela Craifaleanu, published by Technical University of Civil Engineering of Bucharest
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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