A Numerical Model for FRCM Reinforced System Based on Bisection Procedure
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57224-1_3
Reference14 articles.
1. Khatir, A., et al.: A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam. Compos. Struct. 1(311), 116803 (2023). https://doi.org/10.1016/j.compstruct.2023.116803
2. Khatir, A., Capozucca, R., Magagnini, E., Khatir, S., Bettucci, E.: Structural health monitoring for RC beam based on RBF neural network using ex-perimental modal analysis. In: Capozucca, R., Khatir, S., Milani, G. (eds.) Proceedings of the International Conference of Steel and Composite for Engineering Structures. ICSES 2022. LNCE, vol. 317, pp. 82–92. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-24041-6_7
3. Carozzi, F.G., et al.: Experimental investigation of tensile and bond properties of carbon-FRCM composites for strengthening masonry elements. Compos. B Eng. 128, 100–119 (2017). https://doi.org/10.1016/j.compositesb.2017.06.018
4. Leone, M., et al.: Glass fabric reinforced cementitious matrix: tensile properties and bond performance on masonry substrate. Compos. B Eng. 127, 196–214 (2017). https://doi.org/10.1016/j.compositesb.2017.06.028
5. Caggegi, C., et al.: Experimental analysis on tensile and bond properties of PBO and aramid fabric reinforced cementitious matrix for strengthening masonry structures. Compos. B Eng. 127, 175–195 (2017). https://doi.org/10.1016/j.compositesb.2017.05.048
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