Artificial Immune Systems Applied to the Analysis of Structural Integrity of a Building
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Data
2014-01-01
Autores
Anjos Lima, Fernando Parra dos [UNESP]
Chavarette, Fabio Roberto
Frutuoso de Souza, Simone Silva
Santos e Souza, Adriano dos [UNESP]
Martins Lopes, Mara Lucia
Wang, Y.
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Editor
Trans Tech Publications Ltd
Resumo
This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This paper presents the application of artificial immune systems for analysis of the structural integrity of a building. Inspired by a biological process, it uses the negative selection algorithm to perform the identification and characterization of structural failure. This methodology can assist professionals in the inspection of mechanical and civil structures, to identify and characterize flaws, in order to perform preventative maintenance to ensure the integrity of the structure and decision-making. In order to evaluate the methodology was made modeling a two-story building and several situations were simulated (base-line condition and improper conditions), yielding a database of signs, which were used as input data for the negative selection algorithm. The results obtained by the present method efficiency, robustness and accuracy.
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Palavras-chave
Analysis of Structural Integrity, Building, Artificial Immune Systems, Negative Selection Algorithm
Como citar
Mechanical Science And Engineering Iv. Stafa-zurich: Trans Tech Publications Ltd, v. 472, p. 544-549, 2014.