A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques

• Main Authors: Hakim, S. J. S., Mhaya, A. M., Ibrahim, M. H. W., Mohammadhasani, M., Mokhatar, S. N., Paknahad, M., Kamarudin, A. F.
• Format: Article
• Language: English
• Published: 2024
• Subjects: T Technology (General)
• Online Access: http://eprints.uthm.edu.my/10870/1/J17072_f9fef400877e90b6f0272ebcb894f021.pdf; http://eprints.uthm.edu.my/10870/; https://doi.org/10.13189/cea.2024.120118

Shear failures exhibit a brittle nature, often resulting in catastrophic collapse without sufficient advance warning or the capacity to redistribute internal stresses. Consequently, shear failures pose a greater risk and require more attention from structural engineers. It is crucial to incorporate...