Description
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.
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.
| Date made available | 6 Nov 2024 |
|---|---|
| Publisher | Forschungsdaten-Repositorium der LUH |
Datasets
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Measurement data of a laboratory steel cantilever beam with a reversible damage mechanism
Wolniak, M. (Creator), Hofmeister, B. (Creator), Jonscher, C. (Creator), Fankhänel, M. (Creator), Loose, A. (Creator), Hübler, C. (Creator) & Rolfes, R. (Creator), Forschungsdaten-Repositorium der LUH, 2022
DOI: 10.25835/123gy6gm, https://data.uni-hannover.de/dataset/e7b97648-0f92-444d-9dec-359773f17499
Dataset
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Uncertainty Quantification for Damage Assessment Using Repeated Deterministic Model Updating
Wolniak, M. T., Hofmeister, B., Dierksen, N. P., Ragnitz, J., Jonscher, C., Hübler, C. & Rolfes, R., 17 Oct 2024, (E-pub ahead of print) 30 p.Research output: Working paper/Preprint › Preprint
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Validation of an FE model updating procedure for damage assessment using a modular laboratory experiment with a reversible damage mechanism
Wolniak, M., Hofmeister, B., Jonscher, C., Fankhänel, M., Loose, A., Hübler, C. & Rolfes, R., Oct 2023, In: Journal of Civil Structural Health Monitoring. 13, 6-7, p. 1185–1206 22 p.Research output: Contribution to journal › Article › Research › peer review
Open Access
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