Evaluation of machine learning method on predicting shear strength of reinforced concrete beams with and without shear reinforcements
This study investigates the application of machine learning (ML) techniques to enhance the accuracy of shear strength prediction in reinforced concrete (RC) beams. Traditional design codes, such as ACI 318-14 and Eurocode 2 (EC2), often provide conservative estimates due to their reliance on empiric...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/181647 |