A micro-modeling approach for the prediction of TRM bond performance on curved masonry substrates

Retrofitting of arches, vaults and domes is needed for vulnerability mitigation of historical structures. Lately, the external application of composite materials embedded within an inorganic matrix addressed the compatibility issues related to FRP applications. Great efforts have been made for a correct identification of tensile and bond properties of TRM reinforcement, but scarce data are available for understanding the effect of curvature in debonding. This paper provides a numerical approach that enables to predict the reinforcement performance on curved masonry elements, when the same is designed without having specific single lap shear tests for the adopted materials. Such an approach relies on a separate modeling of each constituent material of the reinforcement and the substrate: matrix, fibers and the interface between them, and bricks and mortar joints. The FE-based software Abaqus is used for the simulations, addressing the non-linear material properties by means of the CDP constitutive model. In order to calibrate and validate the proposed numerical approach, experimental data are used and through a comparison of the load-displacement curves obtained the capabilities of the method are discussed. Finally, an extension of such approach to curvatures not experimentally tested is presented, opening the way to future applications of the approach.

Automated summary

This paper presents a numerical approach for predicting the reinforcement performance on curved masonry elements without specific single lap shear tests for the adopted materials. The method involves separate modeling of each constituent material of the reinforcement and the substrate, using the FE-based software Abaqus and addressing non-linear material properties with the CDP constitutive model. Experimental data are used to calibrate and validate the approach, with a discussion on the capabilities of the method based on load-displacement curves obtained. The approach is extended to untested curvatures, suggesting potential future applications.