Stochastic roll response for a vessel with nonlinear damping models and steady heeling angles in random beam seas. (1st July 2016)

• Record Type: Journal Article
• Authors: Chai, Wei; Naess, Arvid; Leira, Bernt J.
• Is Part Of: Ocean engineering. Volume 120(2016)
• Page Start: 202
• Page End: 211
• Publication Date: 2016-07-01
• Subjects: Stochastic roll response -- Path integration method -- Nonlinear damping models -- Initial heeling angle; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2016.05.019
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: Loss of ship stability is most frequently associated with extreme roll motion. For the case of random beam sea, a single-degree-of-freedom (SDOF) model is applied in the present study in order to represent the stochastic rolling behavior. The random wave excitation term in the SDOF model is approximated as a filtered white noise process by applying a second order linear filter. Accordingly, the original SDOF model is extended into a four-dimensional (4D) dynamic system. The coupled dynamic system can be viewed as a Markov system whose probabilistic properties are governed by the corresponding Fokker–Planck equation. Based on the convenient Markov property, a host of useful response statistics can be obtained by an efficient path integration (PI) method. Different nonlinear damping models, i.e. the linear-plus-quadratic damping (LPQD) model and the linear-plus-cubic damping (LPCD) model, and their effects on the stochastic roll response are investigated and the influence of the steady heeling angle on the response level associated with ship rolling in random seas is also studied. Furthermore, the accuracy of the response statistics computed by the PI technique is verified by means of the versatile Monte Carlo simulation (MCS) technique. Highlights: Linear filter technique is introduced to model the random wave excitation. A four-dimensional path integration method is applied to study the stochastic roll response. The influence of nonlinear damping models on the stochastic roll response is studied. The influence of initial heeling angle on the response statistics of roll motion in random seas is investigated.