Development of crack width prediction models for RC beam-column joint subjected to lateral cyclic loading using machine learning

• Main Authors: Ganasan, Reventheran, Tan, Chee Ghuan, Ibrahim, Zainah, Nazri, Fadzli Mohamed, Sherif, Muhammad M., El-Shafie, Ahmed
• Format: Article
• Published: MDPI 2021
• Subjects: QC Physics; QD Chemistry
• Online Access: http://eprints.um.edu.my/28294/

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...