Critical damages identification in a multi-level damage stability assessment framework for passenger ships. (December 2022)

• Record Type: Journal Article
• Authors: Mauro, Francesco; Vassalos, Dracos; Paterson, Donald
• Is Part Of: Reliability engineering & system safety. Volume 228(2022)
• Publication Date: 2022-12
• Subjects: Ship safety -- Flooding risk -- Passenger ship -- Damage stability -- Collisions; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2022.108802
• Languages: English
• ISSNs: 0951-8320

Abstract

Abstract: The damaged stability assessment for a passenger ship is a process requiring the simulation of multiple damage scenarios. Nevertheless, the stochastic nature of the damage stability framework requires the analysis of a statistically significant number of cases. On the other hand, the probability density functions used to estimate the possible damage dimensions and locations along the ship generate many scenarios that are not critical for the ship's survivability, especially for large passenger ships. It is standard to apply empirical rules to restrict the number of damage scenarios, such as critical damages is only above two compartments, considering that damage stability regulations currently in force ensure survivability levels beyond this extent of breaches. However, a rigorous approach is lacking. To this end, in the present work, it is proposed to use more scientific-based methods to identify critical damages. This paper presents three original approaches developed in the context of a multi-level damage stability assessment. The first method relies on preliminary static calculations, the second on the energy absorbed by the ship during an impact, and the third on a purely dynamic approach. Here, the methods are critically compared on two sample passenger ships for collision damages, showing their respective advantages and disadvantages. Highlights: Damage breach generation and screening strategies of critical damages selection for damage stability assessment. Multi-level flooding risk assessment of safety–critical systems (passenger ship). Uncertainty analysis on selection of critical scenarios. Use of Randomised Quasi-Monte Carlo methods for maximum accuracy and computational efficiency. Implementation of new methodology to one cruise ship and one RoPax.