Analysis of Structural Integrity Using an ARTMAP-Fuzzy Artificial Neural Network

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.

• Periodical: Advanced Materials Research (Volumes 838-841)
• Pages: 3287-3290
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.838-841.3287
• Online since: November 2013
• Authors: Adriano dos Santos e Souza*, Fábio Roberto Chavarette, Fernando Parra dos Anjos Lima, Mara Lúcia Martins Lopes, Simone Silva Frutuoso de Souza
• Keywords: Adaptive Resonance Theory, Analysis of Structural Integrity, Artificial Neural Network (ANN), Building Structure

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