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Towards extraction of vibration-based damage indicators

Abstract : After 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.
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https://hal.inria.fr/hal-01344178
Contributor : Michael Döhler <>
Submitted on : Monday, July 11, 2016 - 2:20:09 PM
Last modification on : Wednesday, May 19, 2021 - 4:18:06 PM
Long-term archiving on: : Wednesday, October 12, 2016 - 1:20:14 PM

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Maria Pina Limongelli, Eleni Chatzi, Michael Döhler, Geert Lombaert, Edwin Reynders. Towards extraction of vibration-based damage indicators. EWSHM - 8th European Workshop on Structural Health Monitoring, Jul 2016, Bilbao, Spain. ⟨hal-01344178⟩

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