Structural health evaluation by optimization techinique and artificial neural network
Abstract
This paper presents two different approaches to detect, locate, and characterize structural damage. Both techniques utilize electrical impedance in a first stage to locate the damaged area. In the second stage, to quantify the damage severity, one can use neural network, or optimization technique. The electrical impedance-based, which utilizes the electromechanical coupling property of piezoelectric materials, has shown engineering feasibility in a variety of practical field applications. Relying on high frequency structural excitations, this technique is very sensitive to minor structural changes in the near field of the piezoelectric sensors, and therefore, it is able to detect the damage in its early stage. Optimization approaches must be used for the case where a good condensed model is known, while neural network can be also used to estimate the nature of damage without prior knowledge of the model of the structure. The paper concludes with an experimental example in a welded cubic aluminum structure, in order to verify the performance of these two proposed methodologies.
How to cite this document
Language
Collections

Related items
Showing items related by title, author, creator and subject.
-
Núcleos de Ensino da Unesp: artigos 2009
Pinho, Sheila Zambello de; Oliveira, José Brás Barreto de
; Gazola, Rodrigo José Cristiano
; Mazotti, Adriano César
; Molero, Camila Schimite
; Mendes, Carolina Borghi
; Mello, Denise Fernandes de
; Marques, Emilia de Mendonça Rosa
; Talamoni, Jandira Liria Biscalquini
; Silva, José Humberto Dias da
et al. (Coleção PROGRAD (UNESP), 2011) [Livro]
-
Núcleos de Ensino da Unesp: artigos 2008
Pinho, Sheila Zambello de; Oliveira, José Brás Barreto de
; Pontes, Sueli Rodrigues
; Almeida, Djanira Soares de Oliveira e
; Godoy, Kathya Maria Ayres de
; Rosa, Claudia de Souza
; Nunes, Julianus Araújo
; Salvador, Sérgio Azevedo
; David, Célia Maria
; Vilche Peña, Angel Fidel
et al. (Coleção PROGRAD (UNESP), 2011) [Livro]
-
Ser e tornar-se professor: práticas educativas no contexto escolar
Pinho, Sheila Zambello de; Spazziani, Maria de Lourdes
; Mendonça, Sueli Guadelupe de Lima
; Rubo, Elisabete Aparecida Andrello
; Villarreal, Dalva Maria de Oliveira
; Duarte, Camila
; Okamoto, Mary Yoko
; Souza, Thais R.
; Garms, Gilza Maria Zauhy
; Marin, Fátima Aparecida Dias Gomes
et al. (Coleção PROGRAD (UNESP), 2012) [Livro]