Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.1860
Publisher DOI: 10.1016/j.proeng.2017.09.100
Title: Nonlinear model parameter identification for ice-induced vibrations
Language: English
Authors: Dostal, Leo 
Lourens, Eliz-Mari 
Metrikine, Andrei 
Keywords: parameter identification;ice-induced vibrations;unscented kaman filter
Issue Date: 1-Jan-2017
Publisher: Elsevier
Source: Procedia Engineering (199): 583-588 (2017)
Journal or Series Name: Procedia engineering 
Abstract (english): The problem of level ice interacting with compliant structures is addressed, where the ice loads can depend on the dynamical behavior of the structures. We are interested in a special type of ice-induced vibration, known as frequency lock-in, and characterized by having the dominant frequency of the ice forces near a natural frequency of the structure. It is shown that accurate estimates of the model parameters for the well-known Määttänen's model for ice-induced vibrations can be obtained from measurements of the structural vibrations and the ice velocity. Määttänen's model uses a state-dependent piecewise nonlinear function for the ice crushing strength, which leads to nonlinear negative damping in the equations of motion of the considered structure. The identification is achieved by means of an Unscented Kalman Filter using simulated noisy measurements of the structural behavior.
Conference: X International Conference on Structural Dynamics, EURODYN 2017 
URI: http://tubdok.tub.tuhh.de/handle/11420/1863
DOI: 10.15480/882.1860
ISSN: 1877-7058
Institute: Mechanik und Meerestechnik M-13 
Type: (wissenschaftlicher) Artikel
License: CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives) CC BY-NC-ND 4.0 (Attribution-NonCommercial-NoDerivatives)
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