Journal
COMPUTERS & STRUCTURES
Volume 125, Issue -, Pages 145-152Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2013.05.006
Keywords
Brick masonry wall; Load-bearing capacity; Reduction factors; Artificial Neural Networks
Funding
- DGE of the Spanish Ministry of Science and Innovation [BIA 2006-04127]
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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. (C) 2013 Elsevier Ltd. All rights reserved.
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