Hostname: page-component-76fb5796d-zzh7m Total loading time: 0 Render date: 2024-04-26T06:50:37.629Z Has data issue: false hasContentIssue false

A variational approach for an inverse dynamical problem for composite beams

Published online by Cambridge University Press:  01 February 2007

ANTONIO MORASSI
Affiliation:
Department of Georesources and Territory, University of Udine, 33100 Udine, Italy email: antonino.morassi@uniud.it
GEN NAKAMURA
Affiliation:
Department of Mathematics, Hokkaido University, Sapporo 060-0810, Japan email: gnaka@math.sci.hokudai.ac.jp
KENJI SHIROTA
Affiliation:
Domain of Mathematical Sciences, Ibaraki University, Ibaraki 310-8512, Japan email: shirota@mx.ibaraki.ac.jp
MOURAD SINI
Affiliation:
Department of Mathematics, Yonsei University, 120-749 Seoul, Korea

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
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Armijo, L. (1966) Minimization of functions having Lipschitz continuous first partial derivatives, Pacific J. Math. 16, 13.CrossRefGoogle Scholar
[2]Bathe, K. J. & Wilson, E. L. (1976) Numerical Methods in Finite Element Analysis. Prentice-Hall.Google Scholar
[3]Belishev, M. I. & Ivanov, S. A. (2005) Recovering the parameters of the system of connected beams from dynamical boundary measurements. Zapiski Nauch. Semin. POMI (in Russian), 324, 2042.Google Scholar
[4]Daniel, J. W. (1971) The Approximate Minimization of Functionals, Prentice-Hall.Google Scholar
[5]Dilena, M. & Morassi, A. (2003) A damage analysis of steel-concrete composite beams via dynamic methods: Part II. Analytical models and damage detection. J. Vibration & Control, 9 (5), 529565.CrossRefGoogle Scholar
[6]Choi, C., Nakamura, G. & Shirota, K. (2005) Variational approach for identifying the coefficient of wave equation. Preprint.Google Scholar
[7]Johnson, R. P. (1994) Composite Structures of Steel and Concrete. Blackwell Scientific.Google Scholar
[8]Hilton, E. & Owen, D. R. J. (1979) An Introduction to Finite Element Computations. Pineridge Press.Google Scholar
[9]Lions, J. L. & Magenes, E. (1972) Non-Homogeneous Boundary Value Problems and Applications. Springer-Verlag, Volume I.CrossRefGoogle Scholar
[10]Morassi, A., Nakamura, G. & Sini, M. (2005) An inverse dynamical problem for connected beams. Euro. J. Appl. Math. 16, 83109.CrossRefGoogle Scholar
[11]Stolk, C. C. (2000) On the modeling and inversion of seismic data. PhD Thesis.Google Scholar
[12]Schumaker, L. L. (1981) Spline functions: Basic theory. Wiley.Google Scholar
[13]Wloka, J.Partial Differential Equations. Cambridge University Press.CrossRefGoogle Scholar