Development of crack width prediction models for RC beam-column joint subjected to lateral cyclic loading using machine learning
In recent years, researchers have investigated the development of artificial neural networks (ANN) and finite element models (FEM) for predicting crack propagation in reinforced concrete (RC) members. However, most of the developed prediction models have been limited to focus on individual isolated...
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Main Authors: | , , , , , |
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Format: | Article |
Published: |
MDPI
2021
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Online Access: | http://eprints.um.edu.my/28294/ |
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