Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study

Machine Learning Models for Carbonation Depth Prediction in Reinforced Concrete Structures: A Comparative Study

The durability of reinforced concrete (RC) structures is strongly influenced by carbonation, a phenomenon governed by material and environmental interactions. This study applied machine learning (ML) techniques—Random Forest (RF), Support Vector Regression (SVR), and Artificial Neural Networks (ANNs...

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Bibliographic Details
Main Authors: Rafael Aredes Couto, Igor Augusto Guimarães Campos, Elvys Dias Reis, Daniel Hasan Dalip, Flávia Spitale Jacques Poggiali, Péter Ludvig
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Modelling
Subjects:
artificial intelligence
artificial neural networks
concrete degradation
cross-validation
machine learning
random forest
Online Access:https://www.mdpi.com/2673-3951/6/2/46
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