Damage Identification on the Tilff Bridge by Vibration Monitoring Using Optical Fiber Strain Sensors
Publication: Journal of Engineering Mechanics
Volume 133, Issue 2
Abstract
Vibration testing is a well-known practice for damage identification of civil engineering structures. The real modal parameters of a structure can be determined from the data obtained by tests using system identification methods. By comparing these measured modal parameters with the modal parameters of a numerical model of the same structure in undamaged condition, damage detection, localization, and quantification is possible. This paper presents a real-life application of this technique to assess the structural health of the 50-year old bridge of Tilff, a prestressed three-cell box-girder concrete bridge with variable height. A complete ambient vibration survey comprising both vertical accelerations and axial strains has been carried out. The in situ use of optical fiber strain sensors for the direct measurement of modal strains is an original contribution of this work. It is a big step forward in the exploration of modal curvatures for damage identification because the accuracy in calculating the modal curvatures is substantially improved by directly measuring modal strains rather than deriving the modal curvatures from acceleration measurements. From the ambient vibrations, natural frequencies, damping factors, modal displacements and modal curvatures are extracted by the stochastic subspace identification method. These modal parameters are used for damage identification which is performed by the updating of a finite element model of the intact structure. The obtained results are then compared to the inspections performed on the bridge.
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References
Abdel Wahab, M., and De Roeck, G. (1999). “Damage detection in bridges using modal curvatures: Application to a real damage scenario.” J. Sound Vib., 226(2), 217–235.
Cantieni, R. (2005). “Experimental methods used in system identification of civil engineering structures.” Proc., 1st Int. Operational Modal Analysis Conf., Copenhagen, April 26-27, 2005, Aalborg Univ., Aalborg, Denmark, 249–260.
Friswell, M., and Mottershead, J. (1995). Finite element model updating in structural dynamics, Kluwer Academic, Dordrecht, The Netherlands.
Pandey, A., Biswas, M., and Samman, M. (1991). “Damage detection from changes in curvature mode shapes.” J. Sound Vib., 145(2), 321–332.
Peeters, B. (2000). “System identification and damage detection in civil engineering,” Ph.D. thesis, Dept. of Civil Engineering, K. U. Leuven, Belgium.
Peeters, B., and De Roeck, G. (1999). “Reference-based stochastic subspace identification for output-only modal analysis.” Mech. Syst. Signal Process., 13(6), 855–878.
Sazonov, E., and Klinkhchorn, P. (2005). “Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes.” J. Sound Vib., 285(4–5), 783–801.
Teughels, A. (2003). “Inverse modelling of civil engineering structures based on operational modal data,” Ph.D. thesis, Dept. of Civil Engineering, K. U. Leuven, Belgium.
Teughels, A., and De Roeck, G. (2004). “Structural damage identification of the highway bridge Z24 by FE model updating.” J. Sound Vib., 278(3), 589–610.
Unger, J., Teughels, A., and De Roeck, G. (2005). “Damage detection of a prestressed concrete beam using modal strains.” J. Struct. Eng., 131(9), 1456–1463.
Van Overschee, P., and De Moor, B. (1996). Subspace identification for linear systems: Theory—Implementation—Applications, Kluwer Academic, Dordrecht, The Netherlands.
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© 2007 ASCE.
History
Received: Sep 15, 2005
Accepted: Jul 12, 2006
Published online: Feb 1, 2007
Published in print: Feb 2007
Notes
Note. Associate Editor: Joel P. Conte
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