Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
18/03/2015
18/03/2015
01/01/2014
|
Resumo |
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. |
Formato |
3287-3290 |
Identificador |
http://dx.doi.org/10.4028/www.scientific.net/AMR.838-841.3287 Civil, Structural And Environmental Engineering, Pts 1-4. Stafa-zurich: Trans Tech Publications Ltd, v. 838-841, p. 3287-3290, 2014. 1022-6680 http://hdl.handle.net/11449/117549 10.4028/www.scientific.net/AMR.838-841.3287 WOS:000339531701310 |
Idioma(s) |
eng |
Publicador |
Trans Tech Publications Ltd |
Relação |
Civil, Structural And Environmental Engineering, Pts 1-4 |
Direitos |
closedAccess |
Palavras-Chave | #Analysis of Structural Integrity #Building Structure #Artificial Neural Networks #Adaptive Resonance Theory |
Tipo |
info:eu-repo/semantics/conferencePaper |