A Machine Learning Model for Predicting the Shear Resistance of RC Beams Strengthened with EBR-CFRP Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-80672-8_16
Reference18 articles.
1. Mohammadi A, Barros JAO, Sena-cruz J (2004) A novel design model for predicting the shear resistance of reinforced concrete beams strengthened with EBR-CFRP Systems. Compos Struct 2024:117901. https://doi.org/10.1016/j.compstruct.2024.117901
2. Dias SJE, Barros JAO (2013) Shear strengthening of RC beams with NSM CFRP laminates: experimental research and analytical formulation. Compos Struct 99:477–490. https://doi.org/10.1016/j.compstruct.2012.09.026
3. Mofidi A, Chaallal O (2011) Shear strengthening of RC beams with EB FRP: influencing factors and conceptual debonding model. J Compos Constr 15:62–74. https://doi.org/10.1061/(asce)cc.1943-5614.0000153
4. Mohammadi A, Barros JAO, Sena-Cruz J (2023) A new model for predicting the shear strength of RC beams strengthened with externally bonded FRP sheets. Compos Struct 319:117081. https://doi.org/10.1016/j.compstruct.2023.117081
5. Mohammadi A, Barros JAO, Sena-Cruz J (2023) Performance of Models for Predicting the Shear Capacity of FRP-Strengthened RC Beams. https://doi.org/10.5281/ZENODO.8066241
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1. Shear strength modeling for reinforced concrete beams strengthened with externally bonded fiber-reinforced polymer using machine learning;Structures;2025-06
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