A quadratic system model based on Volterra series representation is used to model the nonlinear response of moored vessels subjected to random seas. The relationship between the incident sea wave (input) and corresponding sway response of the moored vessel (output) is modeled by a parallel combination of linear and quadratic transfer functions, and is estimated by processing actual input and output data. Compared to previous approaches, this technique removes the restriction that the random input must possess Gaussian statistics. The feasibility and validity of the approach is demonstrated by analyzing experimental data taken in model basin tests. Some of the deleterious consequences of assuming Gaussian sea-wave excitation when in fact the excitation is non-Gaussian are also described.
Modeling of the nonlinear drift oscillations of moored vessels subject to non-Gaussian random sea-wave excitation
Modellierung von nichtlinearen Driftschwingungen von verankerten Schiffen, die einer statistischen Nicht-Gauss-Seewellenanregung unterworfen sind
IEEE Journal of Oceanic Engineering ; E-12 , 4 ; 568-575
1987
8 Seiten, 15 Quellen
Article (Journal)
English
Nonlinear analysis of slow drift oscillations of moored vessels in random seas
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