Mechanical characterization of FRCM systems for the strengthening of masonry structures
Reference persons ALESSIA MONACO
Thesis type BIBLIOGRAPHIC, SIMULATION/ANALYSIS
Description Fibre Reinforced Cementitious Matrix (FRCM) composites are becoming increasingly popular for the strengthening of masonry structures for which the compatibility of the inorganic matrix with the chemical and physical properties of the support makes it advantageous to adopt such systems.
However, despite the large use of FRCM for strengthening applications, the characterization and modelling of the mechanical response of the system under traction is still an open issue. In fact, the constitutive tensile law of the composite shows to be affected by different variables, such as the clamping system adopted during tensile test, the gauge length used for recording strains, the monitoring of the number of yarns and the planarity of the textile within the composite thickness. In addition to these uncertainties, which influence the experimental tensile characterization, few information are available on the constitutive law that rules the fibre-matrix interface, which is essential for evaluating the load transfer during the post-cracking stage of the composite, as already shown in the literature. For these reasons, the studies that provide indications on both analytical and numerical modelling of the tensile behaviour of FRCM materials are still limited.
Within this framework, the thesis will be focused firstly on the bibliographical research of reference studies available in the scientific literature in the field of the tensile behaviour of fiber reinforced cementitious matrix composites used for the structural strengthening of existing masonry buildings. The candidate will reproduce some of the most significant finite element models and will apply the analytical formulations currently available for interpreting the numerical results. The thesis will have to bring out the limits still present in the theoretical-analytical models currently available and propose innovative suggestions for the advancement of knowledge with respect to the state of the art.
Deadline 31/10/2021 PROPONI LA TUA CANDIDATURA