Damage identification using modal strains identified from operational fiber-optic Bragg grating data
Auteur(s): |
Dimitrios Anastasopoulos
Maure De Smedt Lucie Vandewalle Guido De Roeck Edwin P. B. Reynders |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, décembre 2017, n. 6, v. 17 |
Page(s): | 1441-1459 |
DOI: | 10.1177/1475921717744480 |
Abstrait: |
Vibration-based structural health monitoring of civil structures relies on the repeated identification of dynamic structural characteristics of the structure from output-only vibration data. Natural frequencies and displacement mode shapes are the most commonly employed dynamic characteristics; yet their sensitivity to local damage of moderate severity is rather low with respect to their sensitivity to other factors such as temperature, necessitating data normalization. Strain mode shapes offer a higher sensitivity to local damage, but their accurate identification in a dense grid is challenging given the very small dynamic strain levels that are encountered under ambient excitation. In this article, a method is presented for tackling this challenge. It consists of three stages. First, fiber-optic Bragg grating strain sensors are attached to the structure and interrogated with a tunable laser performing a wavelength sweep. In this way, the measured strain amplitudes have the required accuracy but synchronization errors are introduced between the different Bragg sensors. Second, a modal analysis is performed on the dynamic strain data using an accurate parametric system identification technique. This is followed by a synchronization step which compensates for the delays introduced by the wavelength sweep. Finally, the synchronized strain mode shapes are employed as damage-sensitive features, either directly or via a newly proposed quantity, the top-to-bottom strain ratio. The method is validated by progressive damage testing of a complex, prestressed concrete “roof” beam, reinforced with steel fibers. It is observed that the proposed method can identify both the presence and the location of the damage in a relatively early stage. |
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sur cette fiche - Reference-ID
10562126 - Publié(e) le:
11.02.2021 - Modifié(e) le:
19.02.2021