%0 Journal Article
%A Garzón Roca, Julio
%A Adam, José Miguel
%A Roca, Pere
%A Sandoval, Cristian
%T Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks
%D 2013
%@ 0045-7949
%U https://hdl.handle.net/20.500.14352/95250
%X Estimating 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.
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