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DC Field | Value | Language |
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dc.contributor.author | Santos e Souza, Adriano dos | - |
dc.contributor.author | Chavarette, Fabio Roberto | - |
dc.contributor.author | Anjos Lima, Fernando Parra dos | - |
dc.contributor.author | Lopes, Mara Lucia Martins | - |
dc.contributor.author | Frutuoso de Souza, Simone Silva | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Zhang, B. | - |
dc.contributor.author | Jiang, L. | - |
dc.contributor.author | Xie, M. | - |
dc.date.accessioned | 2015-03-18T15:56:25Z | - |
dc.date.accessioned | 2016-10-25T20:35:37Z | - |
dc.date.available | 2015-03-18T15:56:25Z | - |
dc.date.available | 2016-10-25T20:35:37Z | - |
dc.date.issued | 2014-01-01 | - |
dc.identifier | http://dx.doi.org/10.4028/www.scientific.net/AMR.838-841.3287 | - |
dc.identifier.citation | Civil, Structural And Environmental Engineering, Pts 1-4. Stafa-zurich: Trans Tech Publications Ltd, v. 838-841, p. 3287-3290, 2014. | - |
dc.identifier.issn | 1022-6680 | - |
dc.identifier.uri | http://hdl.handle.net/11449/117549 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/117549 | - |
dc.description.abstract | This paper presents the application of artificial neural networks in the analysis of the structural integrity of a building. The main objective is to apply an artificial neural network based on adaptive resonance theory, called ARTMAP-Fuzzy neural network and apply it to the identification and characterization of structural failure. This methodology can help professionals in the inspection of structures, to identify and characterize flaws in order to conduct preventative maintenance to ensure the integrity of the structure and decision-making. In order to validate the methodology was modeled a building of two walk, and from this model were simulated various situations (base-line condition and improper conditions), resulting in a database of signs, which were used as input data for ARTMAP-Fuzzy network. The results show efficiency, robustness and accuracy. | en |
dc.format.extent | 3287-3290 | - |
dc.language.iso | eng | - |
dc.publisher | Trans Tech Publications Ltd | - |
dc.source | Web of Science | - |
dc.subject | Analysis of Structural Integrity | en |
dc.subject | Building Structure | en |
dc.subject | Artificial Neural Networks | en |
dc.subject | Adaptive Resonance Theory | en |
dc.title | Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | UNESP Univ Paulista, Mech Engn Dept, FEIS, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.description.affiliationUnesp | UNESP Univ Paulista, Mech Engn Dept, FEIS, BR-15385000 Ilha Solteira, SP, Brazil | - |
dc.identifier.doi | 10.4028/www.scientific.net/AMR.838-841.3287 | - |
dc.identifier.wos | WOS:000339531701310 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | Civil, Structural And Environmental Engineering, Pts 1-4 | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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