Garzón Roca, JulioAdam, José MiguelRoca, PereSandoval, Cristian2024-01-242024-01-242013Garzón-Roca, Julio, et al. «Estimation of the Axial Behaviour of Masonry Walls Based on Artificial Neural Networks». Computers & Structures, vol. 125, septiembre de 2013, pp. 145-52. https://doi.org/10.1016/j.compstruc.2013.05.006.0045-794910.1016/j.compstruc.2013.05.006https://hdl.handle.net/20.500.14352/95250Estimating the load-bearing capacity of brick masonry walls is a fundamental aspect of the design or retrofitting of this type of structures. This paper presents a new ANN-based proposal as an alternative to the different existing methods. The proposal takes into account load eccentricity, wall slenderness ratio and stiffness and masonry tensile strength, and is validated by a comparison with the Eurocode 6 and other formulations as well as three other experimental studies. The proposal closely agrees with the experimental results and is less conservative than Eurocode 6 and therefore more likely to provide the optimum design for masonry walls.engjournal article1879-2243https://doi.org/10.1016/j.compstruc.2013.05.006https://www.sciencedirect.com/science/article/pii/S0045794913001661open access624.01Brick masonry wallLoad-bearing capacityReduction factorsArtificial Neural NetworksCiencias3305 Tecnología de la Construcción