2013
DOI: 10.1007/s11071-013-1171-6
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Nonlinear vibration modes and instability of a conceptual model of a spar platform

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Cited by 25 publications
(19 citation statements)
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“…The selection of this type of WEC stems from the numerous reports of parametric pitch/roll for axisymmetric heaving point absorbers [17][18][19][20][29][30][31][32][33][34]39,41,45,46,[48][49][50]. The particular geometry used in this study is a representation of a classic spar platform from the literature [62][63][64][65], comprising a simple vertical cylinder whose natural period of pitch motion is about twice the heave resonant period. The 2:1 ratio of heave to pitch natural frequency makes the floating cylinder prone to parametric excitation in pitch.…”
Section: The Devicementioning
confidence: 99%
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“…The selection of this type of WEC stems from the numerous reports of parametric pitch/roll for axisymmetric heaving point absorbers [17][18][19][20][29][30][31][32][33][34]39,41,45,46,[48][49][50]. The particular geometry used in this study is a representation of a classic spar platform from the literature [62][63][64][65], comprising a simple vertical cylinder whose natural period of pitch motion is about twice the heave resonant period. The 2:1 ratio of heave to pitch natural frequency makes the floating cylinder prone to parametric excitation in pitch.…”
Section: The Devicementioning
confidence: 99%
“…A numerical model of the cylinder was used by Jingrui et al [63] to study the combination resonance response. Gavasoni et al [64] employed a numerical model for the investigation of nonlinear vibration modes and instability. Giorgi et al [65] demonstrated the potential yaw instability which may arise when including nonlinear kinematics in a nonlinear hydrodynamic model.…”
Section: The Devicementioning
confidence: 99%
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“…They provide a solid theoretical and mathematical tool for interpreting a wide class of nonlinear dynamical phenomena. Reduced order models obtained by the use of NNMs are able to capture the contribution of several modes (Gavassoni et al, 2014), thus allowing a smaller number of modes to generate a precise model compared to standard reduction approaches such as those using linear modes.…”
Section: Introductionmentioning
confidence: 99%