Anisotropic masonry failure criterion using artificial neural networks


In the last decades, a plethora of advanced computational models and techniques have been proposed on the modeling, assessment and design of masonry structures. The successful application of such sophisticated models necessitates the development of reliable analytical models capable of describing the failure of masonry materials. Nevertheless, there is a… (More)
DOI: 10.1007/s00521-016-2181-3


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