Mitseas, I.P. orcid.org/0000-0001-5219-1804 and Danisworo, O. (2026) Stochastic seakeeping analysis of nonlinear ship rolling dynamics under non-stationary and irregular sea states. Computers & Structures, 323. 108164. ISSN: 0045-7949
Abstract
This paper presents an efficient semi-analytical methodology for quantifying the capsizing risk and seakeeping performance of ships undergoing nonlinear rolling motions under realistic, non-white sea-wave excitations. The dynamic response is captured through a comprehensive and physically consistent nonlinear formulation that incorporates both softening and hardening restoring moment characteristics, nonlinear hydrodynamic damping mechanisms, and evolutionary stochastic wave loads representative of complex maritime environments. By leveraging a refined blend of stochastic averaging and statistical linearization techniques, the study yields computationally efficient, time-dependent seakeeping probability estimates, rigorously accounting for the critical behaviors of both bounded and unbounded ship roll motions, including those associated with negative stiffness regions, through an appropriately tailored, non-stationary response amplitude probability density function (PDF). A notable advancement of the proposed framework lies in its robust capability to address stochastic sea-wave excitations with time-varying intensity and frequency content, thereby accurately reflecting the evolving nature of real-world open-sea environments. Numerical analyses across a range of case studies, validated against benchmark Monte Carlo simulations, demonstrate the accuracy and efficiency of the methodology, underscoring its promise as a practical performance-based tool for evaluating vessel stability and seakeeping under dynamic and uncertain maritime operational scenarios.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2026 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Ship rolling dynamics, Stochastic averaging, Seakeeping probability, Sea-wave power spectra, Negative stiffness, Statistical linearization |
| Dates: |
|
| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
| Date Deposited: | 27 Feb 2026 10:47 |
| Last Modified: | 27 Feb 2026 10:48 |
| Published Version: | https://www.sciencedirect.com/science/article/pii/... |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.compstruc.2026.108164 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238400 |
Download
Filename: Mitseas_Danisworo_Journal_CAS_2026.pdf
Licence: CC-BY 4.0

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)