This paper proposes a non-destructive method for damage detection in steel-concrete beams based on finite spectral data associated to a given set of boundary conditions. The inverse problem consists in determining two stiffness coefficients of the connection between the steel beam and the concrete beam. The inverse problem is transformed to a variational problem for a cost function which includes eigenvalue data and transversal displacements of eigenfunctions. A projected gradient method which uses the analytical expressions of the first partial derivatives of the eigenvalues and eigenfunctions is proposed for identifying the unknown coefficients. The results of an extended series of numerical simulations on real steel-concrete beams are presented and discussed.

A non destructive method for damage detection in steel-concrete composite structures based on finite eigendata

MORASSI, Antonino;
2012

Abstract

This paper proposes a non-destructive method for damage detection in steel-concrete beams based on finite spectral data associated to a given set of boundary conditions. The inverse problem consists in determining two stiffness coefficients of the connection between the steel beam and the concrete beam. The inverse problem is transformed to a variational problem for a cost function which includes eigenvalue data and transversal displacements of eigenfunctions. A projected gradient method which uses the analytical expressions of the first partial derivatives of the eigenvalues and eigenfunctions is proposed for identifying the unknown coefficients. The results of an extended series of numerical simulations on real steel-concrete beams are presented and discussed.
File in questo prodotto:
File Dimensione Formato  
Jimbo_et_al_IPSE_20_233-270_2012.pdf

non disponibili

Tipologia: Altro materiale allegato
Licenza: Non pubblico
Dimensione 1.4 MB
Formato Adobe PDF
1.4 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11390/870150
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 8
social impact