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Civil-Comp Conferences
ISSN 2753-3239
CCC: 10
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 7.5

Capsizing Risk Assessment of Nonlinear Ship Roll Motion Under Evolutionary Sea-Wave Excitation

I.P. Mitseas and O. Danisworo

School of Civil Engineering, University of Leeds, United Kingdom

Full Bibliographic Reference for this paper
I.P. Mitseas, O. Danisworo, "Capsizing Risk Assessment of Nonlinear Ship Roll Motion Under Evolutionary Sea-Wave Excitation", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 10, Paper 7.5, 2025,
Keywords: nonlinear ship rolling, statistical linearization, capsizing failure, stochastic averaging, seakeeping reliability, sea-wave evolutionary power spectrum.

Abstract
An approximate analytical technique is developed for assessing the capsizing risk of ships rolling in beam seas subjected to non-white sea-wave excitations. The ship motion is modeled as a nonlinear roll system incorporating both softening and hardening restoring characteristics, nonlinear damping, and evolutionary stochastic excitation representative of ocean conditions. A stochastic averaging method is employed to derive time-dependent seakeeping probabilities in a computationally efficient manner. The method accounts for both bounded and unbounded ship roll motion associated with negative stiffness regions by introducing a tailored form of the non-stationary response amplitude probability density function (PDF), specifically designed to capture this critical ship dynamics behavior. A notable strength of the approach is its ability to handle stochastic excitations with time-varying intensity and frequency content, as commonly encountered in open-sea environments. Numerical examples involving nonlinear ship roll models are presented whereas comparisons with pertinent Monte Carlo simulation data demonstrate the efficiency and accuracy of the proposed technique.

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