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A variational approach for an inverse dynamical problem for composite beams

Published online by Cambridge University Press:  01 February 2007

ANTONIO MORASSI ,
GEN NAKAMURA ,
KENJI SHIROTA  and
MOURAD SINI
ANTONIO MORASSI
Affiliation:
Department of Georesources and Territory, University of Udine, 33100 Udine, Italy email: [email protected]
GEN NAKAMURA
Affiliation:
Department of Mathematics, Hokkaido University, Sapporo 060-0810, Japan email: [email protected]
KENJI SHIROTA
Affiliation:
Domain of Mathematical Sciences, Ibaraki University, Ibaraki 310-8512, Japan email: [email protected]
MOURAD SINI
Affiliation:
Department of Mathematics, Yonsei University, 120-749 Seoul, Korea
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Abstract

This paper deals with a problem of nondestructive testing for a composite system formed by the connection of a steel beam and a reinforced concrete beam. The small vibrations of the composite beam are described by a differential system where a coupling takes place between longitudinal and bending motions. The motion is governed in space by two second order and two fourth order differential operators, which are coupled in the lower order terms by the shearing, k, and axial, μ, stiffness coefficients of the connection. The coefficients k and μ define the mechanical model of the connection between the steel beam and the concrete beam and contain direct information on the integrity of the system. In this paper we study the inverse problem of determining k and μ by mixed data. The inverse problem is transformed to a variational problem for a cost function which includes boundary measurements of Neumann data and also some interior measurements. By computing the Gateaux derivatives of the functional, an algorithm based on the projected gradient method is proposed for identifying the unknown coefficients. The results of some numerical simulations on real steel-concrete beams are presented and discussed.

Type
Papers
Information
European Journal of Applied Mathematics , Volume 18 , Issue 1 , February 2007 , pp. 21 - 55
Copyright
Copyright © Cambridge University Press 2007

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