Structural reliability assessment of container ship at the time of accident

Parunov, Joško; Andrić, Jerolim; Ćorak, Maro; Kitarović, Stanislav

doi:10.1177/1475090213506183

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…As an example, for structural reliability analysis, Downes and Pu 58 proposed a methodology for assessment of ship hull girder ultimate strength reliability to improve the ship design from the perspective of safety. Additionally, the study conducted by Parunov et al, 59 on a hull girder reliability assessment of the MSC Napoli at the time of its accident can be given as another example. To calculate the probability of failure, a first-order reliability method was used in the study.…”

Section: Can Be Givenmentioning

confidence: 99%

A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

Çiçek

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Reliability has become a greater concern in shipboard systems due to increasing amount of technology level, system complexity, and multiple design demands. Enhancement of the shipboard system’s reliability ensures safe and continuous operation onboard a ship. To enhance the reliability of the shipboard system, it is essential to identify each individual component’s reliability. Within this scope, the onerous task of reliability allocation analysis enhances the reliability of shipboard systems through the optimization of component-based designs, construction, and operations. This study proposes a hybrid reliability allocation methodology based on a hierarchical structure with the integration of an analytic hierarchy process (AHP), data envelopment analysis (DEA), and feasibility of objectives (FOO) methods. The proposed methodology provides reliability allocation analyses for systems with any number of components. The study also examines the usefulness of the adaptation of AHP-DEA into reliability allocation analysis. To demonstrate the applicability of the proposed methodology, a case study on the steering gear system is presented.

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Section: Can Be Givenmentioning

confidence: 99%

A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

Çiçek

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Although whipping certainly occurred at the time of the accident, it is still not clear how much it actually contributed to the hull girder failure (Storhaug, 2009). Parunov et al (2014), in their investigations of the MSC Napoli, proposed the structural reliability approach, which enables identification of the relative importance of various pertinent variables on the structural failure. Sensitivity analysis, which is regular part of the structural reliability study, showed that the most important random variable at the time of the accident appears to be the modelling uncertainty in the bending capacity (32%).…”

Section: Load Uncertaintiesmentioning

confidence: 99%

Prediction of wave-induced loads on ships: Progress and challenges

et al. 2016

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The aim of this paper is to critically assess the methods used for the evaluation of wave-induced loads on ships examining analytical, numerical and experimental approaches. The paper focuses on conventional ocean going vessels and loads originating from steady state and transient excitations, namely slamming, sloshing and green water, for the latter, and including extreme or rogue waves, as well as the more occasional loads following damage. The advantages and disadvantages of the relatively simpler potential flow approaches against the more time consuming CFD methods are discussed with reference to accuracy, modelling nonlinear effects, ease of modelling and of coupling with structural assessment procedures, suitability for long term response prediction and suitability for integration within design and operational decision making. The paper also assesses the uncertainties involved in predicting wave-induced loads and the probabilistic approaches used for the evaluation of long term response and fatigue analysis. The current design practice is reviewed and the role of numerical prediction methods within the classification framework and goal based design approach discussed. Finally the suitability of current developments in prediction methods to meet the needs of the industry and future challenges is assessed.

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