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A comparison of damage detection methods applied to civil engineering structures

Abstract : The early damage detection, among localization and quantification methods, is crucial for the in-time repairs and cost-optimized maintenance plans of civil engineering structures. Preferably, the damage detection is performed by use of the output vibration data, hereby avoiding modal identification of the structure. The most of the work within the field assumes that the unmeasured excitation signal is time-invariant with a constant covariance, which is hardly achieved in practice. In this paper, we present a comparison of a new Mahalanobis distance-based damage detection method with the well-known subspace-based damage detection algorithms robust to the changes in the excitation covariance. The joint features of the methods are concluded in a control chart. The described methodology is implemented in ARTeMIS-a software for health monitoring and operational modal analysis. The performances of the methods are evaluated both on the numerical simulations and a full-scale experimental example-namely data obtained from the Dogna Bridge-using the output ambient vibration signals. The results reveal a positive capability of the damage detection from tested methods, with a less computational complexity of the Mahalanobis distance-based approach. The control chart presents a comprehensive overview of the progressively damaged structure.
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Submitted on : Friday, December 20, 2019 - 2:25:25 PM
Last modification on : Saturday, December 21, 2019 - 1:19:47 AM
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Szymon Gres, Palle Andersen, Rasmus Johan Johansen, Martin Dalgaard Ulriksen, Lars Damkilde. A comparison of damage detection methods applied to civil engineering structures. EVACES 2017 - Experimental Vibration Analysis of Civil Engineering Structures, Jul 2017, San Diego, United States. ⟨10.1007/978-3-319-67443-8_26⟩. ⟨hal-02421402⟩



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