Consequence analyses of collision-damaged ships — damage stability, structural adequacy and oil spillsShow others and affiliations
2023 (English)In: Ships and Offshore Structures, ISSN 1744-5302, E-ISSN 1754-212X, Vol. 18, no 4, p. 567-Article in journal (Refereed) Published
Abstract [en]
A ship collision accident may pose a threat to human lives, the environment and material assets. A damaged ship can suffer from the loss of ship stability, reduced global structural strength, and the loss of the integrity of internal tanks carrying polluting liquids. This study presents a methodology as a framework that can be used to analyze the related consequences of ship-ship collision events using simulations and evaluations. The methodology includes nonlinear finite element analyses of the collision event, a METOCEAN data analysis module, damage stability simulations, analyses of the damaged ship’s ultimate strength and structural integrity, oil spill drift simulations, and finally, an evaluation of the three abovementioned consequences. A case study with a chemical tanker subjected to collision demonstrates the methodology. The collision event was assumed to occur in the Kattegat area (between Sweden and Denmark) at a ship route intersection with high ship traffic density. © 2022 The Author(s).
Place, publisher, year, edition, pages
Taylor and Francis Ltd. , 2023. Vol. 18, no 4, p. 567-
Keywords [en]
Consequence analysis, damage stability, oil spill, ship collision, ultimate strength, Oil tankers, Stability, Collision events, Collision/accident, Damaged ships, Human lives, Non-linear finite elements, Structural strength, Oil spills
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:ri:diva-59346DOI: 10.1080/17445302.2022.2071014Scopus ID: 2-s2.0-85130285888OAI: oai:DiVA.org:ri-59346DiVA, id: diva2:1668670
Note
This study received financial support from the Swedish Transport Administration project ‘SHARC - Structural and Hydro mechanical Assessment of Risk in Collision and grounding’ (grant agreement: TRV 2019/42277). The FEAs were partly performed on resources provided by the Swedish National Infrastructure for Computing (SNIC) at Chalmers Centre for Computational Science and Engineering (C3SE) partially funded by the Swedish Research Council through grant agreement no. 2018-05973.
2022-06-132022-06-132025-09-23Bibliographically approved