A method for the direct assessment of ship collision damage and flooding risk in real conditions. (1st October 2021)
- Record Type:
- Journal Article
- Title:
- A method for the direct assessment of ship collision damage and flooding risk in real conditions. (1st October 2021)
- Main Title:
- A method for the direct assessment of ship collision damage and flooding risk in real conditions
- Authors:
- Zhang, Mingyang
Conti, Fabien
Le Sourne, Hervé
Vassalos, Dracos
Kujala, Pentti
Lindroth, Daniel
Hirdaris, Spyros - Abstract:
- Abstract: Collision accidents may lead to significant asset damage and human casualties. This paper introduces a direct analysis methodology that makes use of Automatic Identification System (AIS) data to estimate collision probability and generate scenarios for use in ship damage stability assessment. Potential collision scenarios are detected from AIS data by an avoidance behaviour-based collision detection model (ABCD-M) and the probability of collision is estimated in various routes pertaining to a specific area of operation. Damage extents are idealised by the Super – Element (SE) method accounting for the influence of surrounding water in way of contact. Results are presented for a Ro - Pax ship operating from 2018 to 2019 in the Gulf of Finland. It is confirmed that collision probability is extremely diverse among voyages and the damages obtained correlate well with those adopted by the UN IMO Regulatory Instrument SOLAS (2020). It is concluded that the method is by nature sensitive to traffic features in the selected case study area. Yet, it is useful for the evaluation of flooding risk for ships operating in real hydro-meteorological conditions. Highlights: We present a direct method for damage stability assessment in real conditions. Collision probability is estimated in various routes. Probabilistic damage extends are evaluated by the Super – Element (SE) method. Damages correlate to those adopted by IMO SOLAS. The method could apply within the context of theAbstract: Collision accidents may lead to significant asset damage and human casualties. This paper introduces a direct analysis methodology that makes use of Automatic Identification System (AIS) data to estimate collision probability and generate scenarios for use in ship damage stability assessment. Potential collision scenarios are detected from AIS data by an avoidance behaviour-based collision detection model (ABCD-M) and the probability of collision is estimated in various routes pertaining to a specific area of operation. Damage extents are idealised by the Super – Element (SE) method accounting for the influence of surrounding water in way of contact. Results are presented for a Ro - Pax ship operating from 2018 to 2019 in the Gulf of Finland. It is confirmed that collision probability is extremely diverse among voyages and the damages obtained correlate well with those adopted by the UN IMO Regulatory Instrument SOLAS (2020). It is concluded that the method is by nature sensitive to traffic features in the selected case study area. Yet, it is useful for the evaluation of flooding risk for ships operating in real hydro-meteorological conditions. Highlights: We present a direct method for damage stability assessment in real conditions. Collision probability is estimated in various routes. Probabilistic damage extends are evaluated by the Super – Element (SE) method. Damages correlate to those adopted by IMO SOLAS. The method could apply within the context of the safety case approach. … (more)
- Is Part Of:
- Ocean engineering. Volume 237(2021)
- Journal:
- Ocean engineering
- Issue:
- Volume 237(2021)
- Issue Display:
- Volume 237, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 237
- Issue:
- 2021
- Issue Sort Value:
- 2021-0237-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10-01
- Subjects:
- Big-data analytics -- Passenger ships -- Collisions -- Damage stability -- Super-element method -- Flooding risk
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2021.109605 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18924.xml