Intelligent Modeling for Shear Strength of RC Exterior Beam-Column Joint Subjected to Seismic Loading
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-12011-4_4
Reference21 articles.
1. Alagundi, S., Palanisamy, T.: Neural network prediction of joint shear strength of exterior beam-column joint. Structures 37, 1002–1018 (2022). https://doi.org/10.1016/j.istruc.2022.01.013
2. Mirrashid, M.: Comparison study of soft computing approaches for estimation of the non-ductile RC joint shear strength. J. Soft Comput. Civ. Eng. 1(1), 9–25 (2017). https://doi.org/10.22115/scce.2017.46318
3. Kotsovou, G.M., Cotsovos, D.M., Lagaros, N.D.: Assessment of RC exterior beam-column Joints based on artificial neural networks and other methods. Eng. Struct. 144, 1–18 (2017). https://doi.org/10.1016/j.engstruct.2017.04.048
4. Mangalathu, S., Jeon, J.: Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques. Eng. Struct. 160, 85–94 (2018). https://doi.org/10.1016/j.engstruct.2018.01.008
5. Kuang, J.S., Wong, H.F.: Effects of beam bar anchorage on beam-column joint behaviour. Proc. Inst. Civ. Eng. Struct. Build. 159(2), 115–124 (2006). https://doi.org/10.1680/stbu.2006.159.2.115
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