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  5. A methodology for cable damage identification based on wave decomposition

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Article
English
2018

A methodology for cable damage identification based on wave decomposition

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English
2018
Journal of Sound and Vibration
Vol 442
DOI: 10.1016/j.jsv.2018.11.018

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Guido De Roeck
Guido De Roeck

University Of Leuven

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Songhan Zhang
Ruili Shen
Kaoshan Dai
+3 more

Abstract

Vibration-based damage identification has been widely studied in the field of structural health monitoring (SHM) for several decades. It is well known, however, that low-order modal parameters, being among the most frequently used, are not sensitive to local damage. A suitable methodology is therefore needed to extract such damage features from the dynamic response of structures. In the present work, local bending behavior of cables is studied for damage identification. First, the dynamic response of a cable is decomposed into evanescent wave and propagating wave components. It is proven that the contribution of the evanescent wave is spatially concentrated, and is sensitive to local damage. A signal transform is proposed next, which allows the estimation of the wave components from the measured cable response. The reflection coefficient of the evanescent wave (REW), which can be calculated from the estimated wave coefficients, depends only on the characteristics of the local discontinuity, and proves to be a robust indicator for local damage. The feasibility of the proposed methodology is studied by means of a simulated experiment, considering a cable model with two locally damaged parts. The results show that the intensity of REW is significantly higher near the damage locations, allowing damage localization. From the estimated REW near the damage locations, the damage levels can be estimated, showing the potential of this methodology for damage assessment of cable structures.

How to cite this publication

Songhan Zhang, Ruili Shen, Kaoshan Dai, Lu Wang, Guido De Roeck, Geert Lombaert (2018). A methodology for cable damage identification based on wave decomposition. Journal of Sound and Vibration, 442, pp. 527-551, DOI: 10.1016/j.jsv.2018.11.018.

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Publication Details

Type

Article

Year

2018

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

Journal of Sound and Vibration

DOI

10.1016/j.jsv.2018.11.018

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