The 1.205 m long laboratory steel cantilever beam is a modular setup of a central beam structure with nine screwed-on fishplates in alternating positions above and below the central beam. A total of fifteen miniature IEPE accelerometers are connected to the central beam structure, recording its dynamic behavior. The steel cantilever beam is excited with broadband white-noise. The fishplates are used to implement a variable, reversible damage mechanism, activated by swapping the intact fishplates with damaged fishplate specimens. Damage is introduced by sawing cuts into a fishplate specimen. Three different damage scenarios of increasing severity are considered.
Detailed information regarding the experimental setup, the measurement system and the experimental procedure can be found in the associated research article by Wolniak et al., 2023. The measurement data are published open-access in Wolniak et al., 2022 just as the corresponding modal parameters eigenfrequencies and eigenmodes identified using Bayesian operational modal analysis (BayOMA) are available in Wolniak et al., 2024. Additional work that utilized the presented laboratory steel cantilever beam are listed below.
Access to the Data
The dataset is available in the Research Data Repository of Leibniz University Hannover.
Data and documentation
Wolniak, M., Hofmeister, B., Jonscher, C., Fankhänel, M., Loose, A., Hübler, C., Rolfes, R. (2022) Measurement data of a laboratory steel cantilever beam with a reversible damage mechanism [Dataset], LUIS, https://doi.org/10.25835/123gy6gm
Wolniak, M., Hofmeister, B., Jonscher, C., Fankhänel, M., Loose, A., Hübler, C., Rolfes, R. (2023) Validation of an FE model updating procedure for damage assessment using a modular laboratory experiment with a reversible damage mechanism, Civil Structural Health Monitoring 13, 1185–1206, doi.org/10.1007/s13349-023-00701-9
Wolniak, M., Hofmeister, B., Dierksen, N., Ragnitz, J., Jonscher, C., Rolfes, R. (2024) BayOMA identification results of a laboratory cantilever beam with a reversible damage mechanism [Dataset], LUIS, https://doi.org/10.25835/r8pevw8m
References associated with experiment
Wernitz, S., Chatzi, E., Hofmeister, B., Wolniak, M., Shen, W., Rolfes, R. (2022) On noise covariance estimation for Kalman filter-based damage localization, Mechanical Systems and Signal Processing 170, 108808, https://doi.org/10.1016/j.ymssp.2022.108808
Hübler, C., Gardner, P., Wolniak, M. (2023) Robust model updating in structural dynamics using a new non-implausibility-motivated optimisation approach, Mechanical Systems and Signal Processing 198, 110401, https://doi.org/10.1016/j.ymssp.2023.110401
Dierksen, N., Hofmeister, B., Hübler, C. (2025) The Bayesian pattern search, a deterministic acceleration of Bayesian model updating in structural health monitoring, Mechanical Systems and Signal Processing 225, 112259, https://doi.org/10.1016/j.ymssp.2024.112259
Wolniak, M., Hofmeister, B., Ragnitz, J., Dierksen, N., Jonscher, C., Hübler, C., Rolfes, R. (2025) Uncertainty propagation via sample-based deterministic model updating for structural damage identification, Structural Health Monitoring 0, 00, 1-29, doi.org/10.1177/14759217251387535
