The presented data shows the Bayesian operational modal analysis (BayOMA) identification results used in the study of Wolniak et al.[1] for the dataset published by Wolniak et al. [2]. For a detailed description of the experimental setup, please see Wolniak et al.[3].

References:

[1] M. Wolniak, B. Hofmeister, N. Dierksen, J. Ragnitz, C. Jonscher, C. Hübler, R. Rolfes, Uncertainty quantification for damage assessment using repeated deterministic model updating (2023) Preprint available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4991201

[2] M. Wolniak, B. Hofmeister, C. Jonscher,M. Fankhänel, A. Loose, C. Hübler, R. Rolfes, Measurement data of a laboratory steel cantilever beam with a reversible damage mechanism (2022). doi:https://doi.org/10.25835/123gy6gm.

[3] M. Wolniak, B. Hofmeister, C. Jonscher, M. Fankhänel, A. Loose, C. Hübler, R. Rolfes, Validation of an fe model updating procedure for damage assessment using a modular laboratory experiment with a reversible damage mechanism, Journal of Civil Structural Health Monitoring 13 (6-7) (2023) 1185–1206. doi:10.1007/s13349-023-00701-9.