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Get Free AccessAfter a brief review of vibration based damage identification methods, three different algorithms for damage identification are applied to the case of the benchmark Z24 bridge in this paper. Data-driven as well as model-based methods are discussed, including input-output algorithms for taking into account the effect of environmental and/or operational sources on the variability of damage features. A further class of data-driven methods that use finite element information is finally introduced as a possible future development.
Maria Pina Limongelli, Eleni Chatzi, Michael Döhler, Geert Lombaert, Edwin Reynders (2016). Towards extraction of vibration-based damage indicators. HAL (Le Centre pour la Communication Scientifique Directe)
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Type
Preprint
Year
2016
Authors
5
Datasets
0
Total Files
0
Language
English
Journal
HAL (Le Centre pour la Communication Scientifique Directe)
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