Bond-slip models for textile reinforced mortar strengthened masonry walls


ÇELİK A., MERCİMEK Ö., ANIL Ö., Taciroglu E.

Engineering Structures, vol.343, 2025 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 343
  • Publication Date: 2025
  • Doi Number: 10.1016/j.engstruct.2025.121263
  • Journal Name: Engineering Structures
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Geobase, ICONDA Bibliographic, INSPEC, Metadex, DIALNET, Civil Engineering Abstracts
  • Keywords: Bond-slip models, Cohesive Zone Modeling (CZM), Finite Element Analysis (FEM), Masonry walls, Textile Reinforced Mortar (TRM)
  • Gazi University Affiliated: Yes

Abstract

This study offers bond-slip models for textile reinforced mortar (TRM) strips and different types of masonry walls through a combined experimental and numerical approach. The model is validated against data from nine masonry wall specimens subjected to diagonal compression loading. From these experiments, key characteristics such as load-displacement curves, stiffnesses, energy dissipation capacities, and strain distributions are extracted. The specimens are modeled using the Finite Element Method (FEM) featuring empirical bond-slip models, developed in a previous study, which were incorporated into the simulations using the Cohesive Zone Modeling (CZM) technique. The results of experimental and numerical studies are compared to assess the accuracy and performance of the bond-slip models. The findings demonstrate that the use of the proposed bond-slip models in numerical analyses significantly improves the prediction of the structural behavior of TRM-strengthened wall elements compared to the perfect bonding (tie) assumption. The proposed model is easy-to-use can be used to examine the strength and ductility characteristics of masonry walls at structural member and structural frame scales.