A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11726/1/J17072_f9fef400877e90b6f0272ebcb894f021.pdf http://eprints.uthm.edu.my/11726/ https://doi.org/10.13189/cea.2024.120118 |
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