AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (4.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Hydrodynamic Stability of Ships in Waves | Publishing Language: Chinese

Calculation of capsizing probability for damaged vessels in beam seas based on direct counting method and dynamic model

Jianwen DUAN1,2Ning MA1,2( )Qiqi SHI1,2
State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Show Author Information

Abstract

Objective

This study aims to calculate and analyze the capsizing probability of damaged vessels in beam seas under dead ship conditions, considering varying significant wave heights and characteristic wave periods. The analysis is conducted using the direct counting method and a dynamic model. The objective is to refine and improve the existing conservative estimation method based on residual stability parameters used in damaged vessel stability assessment regulations.

Methods

The dynamic model incorporates the coupled interactions among waves, the vessel, and internal floodwater. The wave-ship coupling is modeled by calculating nonlinear restoring forces and Froude−Krylov forces through instantaneous integration of pressures over the wetted surface. Radiation and diffraction forces are obtained using the STF method in combination with impulse response functions, while experimentally derived roll damping coefficients are included to capture viscous effects. The wave-floodwater coupling is accounted for through modified Bernoulli equations that determine inflow and outflow rates at damaged openings. The ship-floodwater coupling is modeled using the lumped mass method to simulate floodwater sloshing forces. Hydrostatic pressures induced by flooding are evaluated via instantaneous integration over the wetted surface, and viscous dissipation effects are approximated using semi-empirical formulations. The direct counting method, following the International Maritime Organization (IMO) guidelines, is employed to quantify capsizing probability using time-dependent marginal probability functions.

Results

The proposed model is applied to the benchmark damaged vessel DTMB 5415 to evaluate roll motion responses and capsizing probabilities. The key findings are as follows: 1) The dynamic model’s predicted roll motion responses exhibit relative errors within 20% compared to experimental data near the period corresponding to the peak response. 2) The 30-minute capsizing probability increases with significant wave height, reaching its maximum when the wave characteristic period approaches the natural roll period of the damaged vessel.

Conclusion

The proposed methodology provides an objective and accurate approach for predicting the capsizing probability of damaged vessels in beam seas. It demonstrates significant improvements over conventional residual stability-based approaches.

CLC number: U661.2+2; U661.32 Document code: A

References

【1】
【1】
 
 
Chinese Journal of Ship Research
Pages 63-70

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
DUAN J, MA N, SHI Q. Calculation of capsizing probability for damaged vessels in beam seas based on direct counting method and dynamic model. Chinese Journal of Ship Research, 2026, 21(1): 63-70. https://doi.org/10.19693/j.issn.1673-3185.04678

335

Views

1

Downloads

0

Crossref

0

Scopus

0

CSCD

Received: 29 August 2025
Revised: 18 October 2025
Published: 11 November 2025
© 2026 Chinese Journal of Ship Research.