Estimation of FRP-To-Concrete Bond Strength of Carbon and Basalt Fabric Under Moisture Conditions: A Neural Network-Based Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60765-3_9
Reference27 articles.
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3. Monaldo, E., Nerilli, F., Vairo, G.: Effectiveness of some technical standards for debonding analysis in FRP-concrete systems. Compos. B Eng. 160, 254–267 (2019). https://doi.org/10.1016/j.compositesb.2018.10.022
4. Chen, S.Z., Zhang, S.Y., Han, W.S., Wu, G.: Ensemble learning based approach for FRP-concrete bond strength prediction. Constr. Build. Mater. 302, 124230 (2021). https://doi.org/10.1016/j.conbuildmat.2021.124230
5. Zhang, J., Wang, Y.: Evaluating the bond strength of FRP-to-concrete composite joints using metaheuristic-optimized least-squares support vector regression. Neural Comput. Appl. 33(8), 3621–3635 (2021). https://doi.org/10.1007/s00521-020-05191-0
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