Comparison of numerical approaches for structural response analysis of passenger ships in collisions and groundings

Sang Kim, Ghalib Taimuri, Pentti Kujala, Fabien Conti, Herve Le Sourne, Jean-Philippe Pineau, Thibaut Looten, Hongseok Bae, M.P. Mujeep Ahmed, Dracos Vassalos, Levent Kaydihan, Spyros Hirdaris*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
6 Downloads (Pure)

Abstract

The dynamic response of ships following grounding and collision accidents may be influenced by structural topology as well as operational and environmental conditions. Traditionally, the consequences of such events may be assessed by crude empirical methods or laborious experiments. Computational methods offer a useful alternative in terms of accurately capturing crushing mechanisms also accounting the influence of surrounding water. This paper presents a benchmark study that compares the structural dynamic response by explicit nonlinear FEA approaches and the semi-numerical super-element method. Simulations for typical accident scenarios involving passenger ships confirm that implementing the influence of hydrodynamic restoring forces in way of contact may be useful for either collision or grounding. Yet, for grounding scenarios, the damaged area resulting from analytical simulations appears to be sensitive to the failure strain values adopted to model the rupture of the ship bottom floors.
Original languageEnglish
Article number103125
Number of pages21
JournalMarine Structures
Volume81
DOIs
Publication statusPublished - 1 Jan 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Ship collisions and groundings
  • Fluid-structure interactions
  • Dynamic response
  • FEA
  • Superelement method
  • Uncertainty modelling
  • Ship safety

Field of art

  • Design

Fingerprint

Dive into the research topics of 'Comparison of numerical approaches for structural response analysis of passenger ships in collisions and groundings'. Together they form a unique fingerprint.

Cite this