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Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic

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Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic

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dc.contributor.author Garzón Roca, Julio es_ES
dc.contributor.author Obrer Marco, Creu es_ES
dc.contributor.author Adam Martínez, José Miguel es_ES
dc.date.accessioned 2014-05-28T14:16:09Z
dc.date.issued 2013-03
dc.identifier.issn 0141-0296
dc.identifier.uri http://hdl.handle.net/10251/37846
dc.description.abstract The use of mathematical tools such as Artificial Neural Networks and Fuzzy Logic has been shown to be useful for solving complex engineering problems, without the need to reproduce the phenomenon under study, when the only information available consists of the parameters of the problem and the desired results. Based on a collection of 96 laboratory tests, this paper uses Artificial Neural Networks and Fuzzy Logic to determine the compressive strength of a masonry structure composed of clay bricks and cement mortar, by using only two parameters: the compressive strength of the mortar and that of the bricks. These mathematical techniques are an alternative to the complex analytical formulas dependent on a large number of parameters and to empirical formulas, which, even though simple, often give unrealistic values. The results obtained are compared to the calculation methods proposed by other authors and other standards and demonstrate the suitability of using Neural Networks and Fuzzy Logic to predict the compressive strength of masonry. (C) 2012 Elsevier Ltd. All rights reserved. es_ES
dc.format.extent 7 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Engineering Structures es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Neural Networks es_ES
dc.subject Fuzzy Logic es_ES
dc.subject Masonry es_ES
dc.subject Compressive strength es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.engstruct.2012.09.029 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.; Obrer Marco, C.; Adam Martínez, JM. (2013). Compressive strength of masonry made of clay bricks and cementmortar: Estimation based on Neural Networks and Fuzzy Logic. Engineering Structures. 48:21-27. doi:10.1016/j.engstruct.2012.09.029 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.engstruct.2012.09.029 es_ES
dc.description.upvformatpinicio 21 es_ES
dc.description.upvformatpfin 27 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.relation.senia 261026


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