A framework for reliability assessment of ship hull damage under ship bow impact

Abayomi Obisesan, Srinivas Sriramula, John Harrigan

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
9 Downloads (Pure)

Abstract

Ship collision analysis outcomes are generally used in computational models to derive damage distributions. However, damage is usually assessed after the collision energy has been fully absorbed by structural members rather than at the onset of outer hull fracture. Furthermore, the deformation behaviour of ship structural members under load depends on uncertainty modelling through material, geometric, and structural considerations, captured in an appropriate reliability framework. To consider these significant missed opportunities in understanding the probability of ship structures meeting their performance targets during collisions, a novel stochastic framework is proposed in this paper. For efficient reliability computations, a plate resistance model is developed for hull damage assessment at the onset of failure. Stochastic modelling capabilities of Python scripting are interfaced with Abaqus® to compute the stochastic response. The reliability computations show that the probability of hull fracture increases as the hull deformation progresses, with maximum values occurring at the onset of outer hull fracture. The framework outcomes are useful in determining optimal ship structural design capabilities.
Original languageEnglish
Pages (from-to)700-719
Number of pages20
JournalShips and Offshore Structures
Volume11
Issue number7
Early online date19 Jun 2015
DOIs
Publication statusPublished - 2016

Bibliographical note

Acknowledgements
The authors are grateful for the support provided through the Lloyd's Register Foundation Centre. The Foundation helps to protect life and property by supporting engineering-related education, public engagement and the application of research.

Keywords

  • ship collision
  • hull damage
  • numerical simulation
  • structural reliability
  • analytical model

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