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Updated: Jan 20, 2026
09:43
Identification of Plant Ice-binding Proteins Through Assessment of Ice-recrystallization Inhibition and Isolation Using Ice-affinity Purification
Published on: May 5, 2017
9.1K
Stochastic subspace identification of modal parameters during ice-structure interaction.
Torodd S Nord1, Øyvind W Petersen2, Hayo Hendrikse3
1Sustainable Arctic Marine and Coastal Technology (SAMCoT), Centre for Research-based Innovation (CRI), Norwegian University of Science and Technology, Trondheim, Norway.
Summary
This study identifies structural modal parameters in icy waters using stochastic subspace identification. Results help assess ice-structure interaction effects and improve structural monitoring accuracy.
Area of Science:
- Structural dynamics
- Ice-structure interaction
- Ocean engineering
Background:
- Modal parameter identification is crucial for structures in icy environments.
- Ice-structure interaction complicates accurate modal analysis.
Purpose of the Study:
- To identify modal parameters and their variances for structures in ice-infested waters.
- To assess the impact of ice conditions on structural dynamics.
Main Methods:
- Utilized covariance-driven stochastic subspace identification (SSI).
- Employed both simulated and measured ice-structure interaction data.
- Analyzed 150 recordings from the Norströmsgrund lighthouse.
Main Results:
- Successfully identified modal parameters and their variances.
- Variances allowed for confidence assignment and elimination of unreliable eigenfrequencies.
- Identified variations in eigenfrequencies across different ice conditions and failure mechanisms.
Conclusions:
- The method effectively identifies modal parameters under complex ice-structure interaction.
- Identified eigenmodes provide insight into active interaction processes.
- Results aid in understanding environmental loading on marine structures.
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