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https://doi.org/10.5540/03.201...
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Identificação de danos estruturais a partir de um Modelo de Superfície de Resposta

Authors: RANGEL, I.C.S.S.; RANGEL, L.S.; STUTZ, L.T.;

Identificação de danos estruturais a partir de um Modelo de Superfície de Resposta

Abstract

Neste trabalho, aborda-se o problema de identificacao de danos estruturais a partir das frequencias naturais. Na formulacao do problema de identificacao de danos e utilizado o Modelo de Superficie de Reposta (MSR) em substituicao a um Modelo de Elementos Finitos (MEF) da estrutura. No presente trabalho, a estrutura simulada trata-se de uma viga de Euler-Bernoulli simplesmente apoiada, no qual o problema inverso em questao e definido como um problema de minimizacao, onde objetivo e minimizar, uma funcao de erro definida a partir dos dados experimentais e de resultados analiticos previstos pelo MSR. A utilizacao do metodo Evolucao Diferencial (ED) no problema de identificacao de danos e considerado. Frente aos resultados numericos obtidos, a estrategia adotada mostrou-se capaz de localizar e quantificar os danos com elevada acuracia.

Keywords

modelo de superfície de resposta, frequências naturais, response surface model, identification of structural damage, natural frequencies, identificação de danos estruturais

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold