Abstract
The application of Fiber Reinforced Cementitious Matrix (FRCM) composites for the reinforcement of building surfaces is more and more common, especially for masonry structures, thanks to their compatibility and the ability to reverse the intervention process. Various analytical and numerical models have been developed to replicate the bond behavior of this complicated system. However, most existing simplified models tend to focus on either the failure of the fiber-mortar interface or the mortar-substrate interface. The influence of mortar cracking and the presence of masonry joints are aspects that have not been extensively investigated. In this paper, we introduce a mathematical model that considers the failures of both the fiber-matrix and matrix-masonry interfaces, as well as the damage to the mortar matrix. We address the debonding problem by formulating an ordinary differential equation (ODE) system and employing a 2D bisection procedure after discretization along the bond length. Two scenarios are discussed, one with consideration of mortar joints and one without. Comparative analysis with existing experimental data and models reveals that the current model performs promisingly in predicting global stress-slip curves.
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References
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
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
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
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
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
Capozucca, R., Khatir, A., Magagnini, E.: Experiences on anchorage systems for FRP rods. In: Capozucca, R., Khatir, S., Milani, G. (eds.) Proceedings of the International Conference of Steel and Composite for Engineering Structures. ICSCES 2022. LNCS, vol. 3178, pp. 48–58. Springer, Cham (2022).https://doi.org/10.1007/978-3-031-24041-6_4
CNR - Advisory Committee on Technical Recommendations for Construction: CNR-DT 215/2018, Guide for the Design and Construction of Externally Bonded Fibre Reinforced Inorganic Matrix Systems for Strengthening Existing Structures (2020)
Bettucci, E., Capozucca, R., Khatir, A., Khatir, S., Magagnini, E.: Concrete plates reinforced with embedded CFRP rods and carbon/steel strips. In: In International Conference of Steel and Composite for Engineering Structures. ICSCES 2022. LNCE, vol. 317, pp. 70–81. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-24041-6_6
De Santis, S., Carozzi, F.G., de Felice, G., Poggi, C.: Test methods for textile reinforced mortar systems. Compos. B Eng. 127, 121–132 (2017). https://doi.org/10.1016/j.compositesb.2017.03.016
Grande, E., Milani, G.: Interface modeling approach for the study of the bond behavior of FRCM strengthening systems. Compos B Eng. 141, 221–233 (2018). https://doi.org/10.1016/j.compositesb.2017.12.052
Milani, G., Grande, E.: Simple bisection procedure in quickly convergent explicit ODE solver to numerically analyze FRCM strengthening systems. Compos. B Eng. 199, 108322 (2020). https://doi.org/10.1016/j.compositesb.2020.108322
Achouri, F., Khatir, A., Smahi, Z., Capozucca, R., Ouled, B.A.: Structural health monitoring of beam model based on swarm intelligence-based algorithms and neural networks employing FRF. J. Braz. Soc. Mech. Sci. Eng. 45(12), 621 (2023). https://doi.org/10.1007/s40430-023-04525-y
Khatir, A., Capozucca, R., Khatir, S., et al.: Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network. Front. Struct. Civ. Eng. 16, 976–989 (2022). https://doi.org/10.1007/s11709-022-0840-2
Bertolesi, E., Fagone, M., Rotunno, T., Grande, E., Milani, G.: Experimental characterization of the textile-to-mortar bond through distributed optical sensors. Constr. Build. Mater. Build Mater. 326, 126640 (2022). https://doi.org/10.1016/j.conbuildmat.2022.126640
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Yuan, Y., Milani, G. (2024). A Numerical Model for FRCM Reinforced System Based on Bisection Procedure. In: Benaissa, B., Capozucca, R., Khatir, S., Milani, G. (eds) Proceedings of the International Conference of Steel and Composite for Engineering Structures. ICSCES 2023. Lecture Notes in Civil Engineering, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-57224-1_3
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