Abstract
This chapter presents selected cases of modal parameter evaluation and damage identification, privileging the applied aspects. The identification of modal parameters is discussed through three experimental cases of masonry structures: a civil building, a monumental structure and a nineteenth century railway bridge. Modal parameters are response quantities that are sensitive to damage, whose variation with respect to an undamaged state can be exploited in view of damage detection and identification. Moreover, the variations of modal quantities can be used for updating the structural model, leading to the best estimate of model mechanical parameters in the undamaged and damaged conditions. This provides information on the damage location and severity. The technique of damage identification based on model updating is applied to laboratory experimental tests on a steel arch.
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Bibliography
J.S. Bendat and A.G. Piersol. Engineering Applications of Correlation and Spectral Analysis. John Wiley & Sons, New York, 1980.
R. Brincker, L. Zhang, and P. Andersen. Modal identification of output-only systems using frequency domain decomposition. Smart Materials and Structures, 10:441–445, 2001.
J.M.W. Brownjohn, P. Moyo, P. Omenzetter, and Y. Lu. Assessment of highway bridge upgrading by dynamic testing and finite element model updating. Journal of Bridge Engineering, 8:162–172, 2003.
D. Capecchi and F. Vestroni. Damage detection in beam structures based on measurements of natural frequencies. Journal of Engineering Mechanics ASCE, 126(7):761–768, 2000.
D. Capecchi and F. Vestroni. Monitoring of structural systems by using frequency data. Earthquake Engineering and Structural Dynamics, 28: 447–461, 1999.
D. Capecchi and F. Vestroni. Identification of finite element models in structural dynamics. Engineering Structures, 15(1):21–30, 1993.
M. N. Cerri and F. Vestroni. Detection of damage in beams subjected to diffused cracking. Journal of Sound and Vibration, 234(2):259–276, 2000.
R.R. Craig. Structural Dynamics. John Wiley & Sons, New York, 1981.
P.J.S. Cruz and R. Salgado. Performance of vibration-based damage detection methods in bridges. Computer-Aided Civil and Infrastructure Engineering, 24:62–79, 2008.
A. De Sortis, E. Antonacci, and F. Vestroni. Dynamic identification of a masonry building using forced vibration tests. Engineering Structures, 27:155–165, 2005.
M. Dilena and A. Morassi. Reconstruction method for damage detection in beams based on natural frequency and antiresonant frequency measurements. Journal of Engineering Mechanics, 136(3):329–344, 2010.
M.I. Friswell and J.D. Mottershead. Finite Element Model Updating in Structural Dynamics. Kluwer Academic Publishers, Dordrecht, 1995.
M.I. Friswell and J.D. Mottershead. Identification in engineering systems, special issue. Journal of Vibration and Control, 4(1), 1998.
R. Ghanem and S. Sture Eds. Journal of Engineering Mechanics, 126(7): 665–777, 2000.
G.M.L. Gladwell. The inverse problem for the vibrating beam. Proceedings of the Royal Society of London Series A, 393:277–295, 1984.
G.M.L. Gladwell and A. Morassi. On isospectral rods, horns and string. Inverse Problems, 11(3):533–554, 1995.
G.M.L. Gladwell, A.H. England, and D. Wang. Examples of reconstruction of an Euler-Bernoulli beam from spectral data. Journal of Sound and Vibration, 119:81–94, 1987.
H.G.D. Goyder. Methods and applications of structural modelling from measured frequency response data. Journal of Sound and Vibration, 68: 209–230, 1980.
N.M.M. Maia and J.M.N. Silva. Theoretical and Experimental Modal Analysis. Reaserch Studies Press, Baldock, 1997.
F. Megalhaes, A. Cunha, and E. Caetano. Dynamic monitoring of a long span arch bridge. Engineering Structures, 30:3034–3044, 2008.
L. Meirovitch. Principles and Techniques of Vibration. Prentice-Hall, Upper Saddle River, N. J., 1997.
A. Morassi. Crack-induced changes in eigenparameters of beam structures. Journal of Engineering Mechanics, 119(9):1798–1803, 1993.
A. Morassi. Damage detection and generalized Fourier coefficients. Journal of Sound and Vibration, 302(1–2):229–259, 2007.
A. Morassi and F. Vestroni. Dynamic Methods for Damage Detection in Structures. Springer, Wien, 2008.
J. E. Mottershead and M. I. Friswell. Model updating in structural dynamics: a survey. Journal of Sound and Vibration, 167(2):347–375, 1993.
H.G. Natke. Identification of vibrating structures. Springer-Verlag, New York, 1982.
H.G. Natke. in: Structural Dynamics. Recent trends in system identification. W.B. Kratzing et al Eds Springer-Verlag, Balkema, Netherlands, 1991.
A. Pau and F. Vestroni. Vibration analysis and dynamic characterization of the Colosseum. Structural Control & Health Monitoring, 15:160–165, 2008.
A. Pau, A. Greco, and F. Vestroni. Numerical and experimental detection of concentrated damage in a parabolic arch by measured frequency variations. Journal of Vibration and Control, pages 1–11, 2010.
S.H. Shen and C. Pierre. Natural modes of Bernoulli-Euler beams with symmetric cracks. Journal of Sound and Vibration, 138(1):115–134, 1990.
A. Teughels and G. De Roeck. Structural damage identification of the highway bridge Z24 by FE updating. Journal of Sound and Vibration, 278:589–610, 2004.
F. Vestroni and D. Capecchi. Parametric identification and damage detection in structural dynamics, pages 107–143. Research Signpost, Trivandrum, India, 2003. A. Luongo ed.
F. Vestroni and D. Capecchi. Damage evaluation in cracked vibrating beams using experimental frequencies and finite element models. Journal of Vibration and Control, 2:69–86, 1996.
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Vestroni, F., Pau, A. (2011). Dynamic Characterization and Damage Identification. In: Gladwell, G.M.L., Morassi, A. (eds) Dynamical Inverse Problems: Theory and Application. CISM International Centre for Mechanical Sciences, vol 529. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0696-9_5
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DOI: https://doi.org/10.1007/978-3-7091-0696-9_5
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