Machine learning-based prediction for residual bearing capacity and failure modes of rectangular corroded RC columns
Author:
Publisher
Elsevier BV
Subject
Ocean Engineering,Environmental Engineering
Reference75 articles.
1. Predicting failure pressure of the corroded offshore pipelines using an efficient finite element based algorithm and machine learning techniques;Abyani;Ocean Eng.,2022
2. Feature selection approach for failure mode detection of reinforced concrete bridge columns;Ali;Case Stud. Constr. Mater.,2022
3. On the implementation of the interpretable data-intelligence model for designing service life of structural concrete in a marine environment;Ashrafian;Ocean Eng.,2022
4. Reinforcement corrosion risk of marine concrete structures evaluated through electrical resistivity: proposal of parameters based on field structures;Balestra;Ocean Eng.,2019
5. Artificial neural networks: fundamentals, computing, design, and application;Basheer;J. Microbiol. Methods,2000
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