Operational modal analysis on a lighthouse structure subjected to ice actions

The sea ice interaction with a structure may cause system changes and affect the feasibility of common approaches to track modal parameters. In this paper, a covariance-driven stochastic subspace identification method is used to identify the natural frequencies from 190 time series of ice actions ag...

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Bibliographic Details
Published in:Procedia Engineering
Main Authors: Nord, Torodd S. (author), Kvåle, Knut Andreas (author), Petersen, Oyvind W. (author), Bjerkås, Morten (author), Lourens, E. (author)
Other Authors: Vestroni, Fabrizio (editor), Gattulli, Vincenzo (editor), Romeo, Francesco (editor)
Format: Conference Object
Language:English
Published: 2017
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:acd9aab4-25e3-44ef-afd8-a2b2eb9ac862
https://doi.org/10.1016/j.proeng.2017.09.268
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Summary:The sea ice interaction with a structure may cause system changes and affect the feasibility of common approaches to track modal parameters. In this paper, a covariance-driven stochastic subspace identification method is used to identify the natural frequencies from 190 time series of ice actions against a lighthouse structure. The results are sorted into groups defined by the observed ice conditions and governing ice failure mechanisms during the ice-structure interaction. The identified natural frequencies vary substantially within each individual group and between the groups. Recordings with flexural failures and a north-south ice-drift direction consistently rendered the same identified frequencies, whereas crushing seemed to create large amounts of variability in the identified frequencies. The results show the need for more high-fidelity data to assess whether modern system identification methods can be used to monitor system changes and support decision-making for operations of structures in ice-infested waters, such as offshore wind structures. Offshore Engineering