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Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks

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Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks

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dc.contributor.author Garzón Roca, Julio es_ES
dc.contributor.author Adam Martínez, José Miguel es_ES
dc.contributor.author Sandoval, C. es_ES
dc.contributor.author Roca, P. es_ES
dc.date.accessioned 2015-01-09T13:28:02Z
dc.date.available 2015-01-09T13:28:02Z
dc.date.issued 2013-09
dc.identifier.issn 0045-7949
dc.identifier.uri http://hdl.handle.net/10251/45931
dc.description.abstract 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. es_ES
dc.description.sponsorship The study presented was developed within the research Projects BIA 2006-04127, funded by DGE of the Spanish Ministry of Science and Innovation, whose assistance is gratefully acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Computers and Structures es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Artificial neural networks es_ES
dc.subject Reduction factors es_ES
dc.subject Load-bearing capacity es_ES
dc.subject Brick masonry wall es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compstruc.2013.05.006
dc.relation.projectID info:eu-repo/grantAgreement/MEC//BIA2006-04127/ES/ANALISIS EXPERIMENTAL Y MODELIZACION NUMERICA DEL COMPORTAMIENTO DE ESTRUCTURAS DE OBRA DE FABRICA ANTE ESTADOS DE CARGA PARALELA Y PERPENDICULAR AL PLANO/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Ciencia y Tecnología del Hormigón - Institut de Ciència i Tecnologia del Formigó es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation Garzón Roca, J.; Adam Martínez, JM.; Sandoval, C.; Roca, P. (2013). Estimation of the axial behaviour of masonry walls based on Artificial Neural Networks. Computers and Structures. 125:145-152. https://doi.org/10.1016/j.compstruc.2013.05.006 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compstruc.2013.05.006 es_ES
dc.description.upvformatpinicio 145 es_ES
dc.description.upvformatpfin 152 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 125 es_ES
dc.relation.senia 261022
dc.contributor.funder Ministerio de Educación y Ciencia es_ES


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