Data Set from Long-Term Wave, Wind, and Response Monitoring of the Bergsøysund Bridge
Publication: Journal of Structural Engineering
Volume 149, Issue 9
Abstract
Wind, wave, displacement, and acceleration data have been collected in a measurement campaign on Norway’s Bergsøysund Bridge, an end-supported pontoon bridge, between the years 2014 and 2018. The data set is now available in an open-access research entry for free access and download. The data are collected in two hierarchical data format (h5) files, with sampling rates of 2 and 10 Hz, downsampled from the raw sampling rate of 200 Hz. The data have undergone some minimal signal processing and adjustment. Some examples of how to import and browse through the data using an openly available Python package are also given.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies. The data can be downloaded here: https://doi.org/10.5281/zenodo.5827293.
Acknowledgments
This research was conducted with financial support from the Norwegian Public Roads Administration. The authors gratefully acknowledge this support.
References
Fenerci, A., K. A. Kvåle, Ø. Wiig Petersen, A. Rønnquist, and O. Øiseth. 2021. “Data set from long-term wind and acceleration monitoring of the hardanger bridge.” J. Struct. Eng. 147 (5): 04721003. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002997.
Goda, Y. 1981. “Simulation in examination of directional resolution.” In Directional wave spectra applications, 387–407. Reston, VA: ASCE.
Johnson, E. A., H. F. Lam, L. S. Katafygiotis, and J. L. Beck. 2004. “Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data.” J. Eng. Mech. 130 (1): 3–15. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(3).
Kvåle, K. A. 2017. “Dynamic behaviour of floating bridges exposed to wave excitation. A numerical and experimental investigation.” Ph.D. thesis, Faculty of Engineering, Norwegian Univ. of Science and Technology.
Kvåle, K. A., A. Fenerci, Ø. W. Petersen, A. Rønnquist, and O. Øiseth. 2022a. “Data set from long-term wave, wind and response monitoring of the Bergsøysund Bridge.” Accessed February 13, 2022. https://zenodo.org/record/6065165.
Kvåle, K. A., A. Fenerci, Ø. W. Petersen, A. Rønnquist, and O. Øiseth. 2022b. “Data set from long-term wave, wind and response monitoring of the Gjemnessund Bridge.” Accessed February 5, 2022. https://zenodo.org/record/5979695.
Kvåle, K. A., and O. Øiseth. 2017. “Structural monitoring of an end-supported pontoon bridge.” Mar. Struct. 52 (Jun): 188–207. https://doi.org/10.1016/j.marstruc.2016.12.004.
Kvåle, K. A., and O. Øiseth. 2019. “Characterization of the wave field around an existing end-supported pontoon bridge from simulated data.” In Proc., Int. Conf. on Earthquake Engineering and Structural Dynamics, edited by R. Rupakhety, S. Olafsson, and B. Bessason, 345–359. Berlin: Springer.
Kvåle, K. A., and O. Øiseth. 2021a. “Automated operational modal analysis of an end-supported pontoon bridge using covariance-driven stochastic subspace identification and a density-based hierarchical clustering algorithm.” In Bridge maintenance, safety, management, life-cycle sustainability and innovations, 3041–3048. London: CRC Press.
Kvåle, K. A., and O. Øiseth. 2021b. “Dynamic response of an end-supported pontoon bridge due to wave excitation: Numerical predictions versus measurements.” Shock Vib. 2021 (1): 8842812. https://doi.org/10.1155/2021/8842812.
Kvåle, K. A., O. Øiseth, and A. Rønnquist. 2017. “Operational modal analysis of an end-supported pontoon bridge.” Eng. Struct. 148 (18): 410–423. https://doi.org/10.1016/j.engstruct.2017.06.069.
Kvåle, K. A., R. Sigbjörnsson, and O. Øiseth. 2016. “Modelling the stochastic dynamic behaviour of a pontoon bridge: A case study.” Comput. Struct. 165 (Mar): 123–135. https://doi.org/10.1016/j.compstruc.2015.12.009.
Maeck, J., and G. De Roeck. 2003. “Description of Z24 benchmark.” Mech. Syst. Sig. Process. 17 (1): 127–131. https://doi.org/10.1006/mssp.2002.1548.
Maes, K., and G. Lombaert. 2021. “Monitoring railway bridge KW51 before, during, and after retrofitting.” J. Bridge Eng. 26 (3): 4721001. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001668.
Petersen, Ø., and O. Øiseth. 2017. “Sensitivity-based finite element model updating of a pontoon bridge.” Eng. Struct. 150 (Nov): 573–584. https://doi.org/10.1016/j.engstruct.2017.07.025.
Petersen, Ø., O. Øiseth, and E. Lourens. 2019. “Full-scale identification of the wave forces exerted on a floating bridge using inverse methods and directional wave spectrum estimation.” Mech. Syst. Sig. Process. 120 (Apr): 708–726. https://doi.org/10.1016/j.ymssp.2018.10.040.
Petersen, Ø., O. Øiseth, T. S. Nord, and E. Lourens. 2018. “Estimation of the full-field dynamic response of a floating bridge using Kalman-type filtering algorithms.” Mech. Syst. Sig. Process. 107 (Jul): 12–28. https://doi.org/10.1016/j.ymssp.2018.01.022.
Wernitz, S., B. Hofmeister, C. Jonscher, T. Grießmann, and R. Rolfes. 2022. “A new open-database benchmark structure for vibration-based structural health monitoring.” Struct Contr. Health Monit. 29 (11): e3077. https://doi.org/10.1002/stc.3077.
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© 2023 American Society of Civil Engineers.
History
Received: Sep 28, 2022
Accepted: Feb 28, 2023
Published online: Jun 17, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 17, 2023
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