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A framework to analyse the probability of accidental hull girder failure considering advanced corrosion degradation for risk-based ship design

Author

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  • Woloszyk, Krzysztof
  • Goerlandt, Floris
  • Montewka, Jakub

Abstract

Ship’s hull girder failure could result from maritime accident that can cause human life loss, environmental disaster, and major economic impacts. In risk-based ship design paradigm, accounting for rare phenomena (e.g. ship-ship collision or grounding) is important to provide safe and durable structure. In-service corrosion-induced hull degradation should be considered at the design stage, as it can significantly affect structural strength. The current study presents a novel framework to estimate the probability of ship hull girder failure, accounting for novel corrosion modelling techniques and accidental damage. The associated uncertainties are considered using statistical sampling from evidence-based distributions. A state-of-the-art deterministic model for ultimate strength calculation is applied using Monte Carlo simulation approach, resulting in the probability of hull failure through a reliability assessment. Wave and still-water bending moments are considered random variables. Two case studies of tanker ships with varying sizes are executed to show the applicability of the proposed framework. The results indicate that proper consideration of corrosion is of high importance, as ageing can significantly increase the probability of failure if accidental damage happens. Therefore, whereas future research and model refinement are discussed, the presented framework can serve for risk-based ship design tool and assess existing structures’ safety.

Suggested Citation

  • Woloszyk, Krzysztof & Goerlandt, Floris & Montewka, Jakub, 2024. "A framework to analyse the probability of accidental hull girder failure considering advanced corrosion degradation for risk-based ship design," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
  • Handle: RePEc:eee:reensy:v:251:y:2024:i:c:s0951832024004083
    DOI: 10.1016/j.ress.2024.110336
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