Author(s): Santos e Souza, Adriano dos [UNESP] ; Chavarette, Fabio Roberto ; Anjos Lima, Fernando Parra dos [UNESP] ; Lopes, Mara Lucia Martins ; Frutuoso de Souza, Simone Silva ; Zhang, X ; Zhang, B. ; Jiang, L. ; Xie, M.
Date: 2015
Persistent ID: http://hdl.handle.net/11449/117549
Origin: Oasisbr
Subject(s): Analysis of Structural Integrity; Building Structure; Artificial Neural Networks; Adaptive Resonance Theory
Made available in DSpace on 2015-03-18T15:56:25Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-01-01
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.
UNESP Univ Paulista, Mech Engn Dept, FEIS, BR-15385000 Ilha Solteira, SP, Brazil
UNESP Univ Paulista, Mech Engn Dept, FEIS, BR-15385000 Ilha Solteira, SP, Brazil
