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Influence of ship dynamics modelling on the prediction of fishing vessels roll response in beam and longitudinal waves

Míguez González, Marcos
•
Bulian, Gabriele
2018
  • journal article

Periodico
OCEAN ENGINEERING
Abstract
Fishing is one of the most risky occupations worldwide. Many accidents are due to stability failures, and dynamic stability phenomena in waves are among the possible causes. Due to time, cost and regulatory lacks, these phenomena are not addressed during design of fishing vessels. High fidelity six degrees of freedom (6-DOF) codes can cope with these phenomena, but their complexity, cost and time of application, limit their use to high-end vessels. The use of less demanding approaches appears more suited for the fishing sector. The scope of this paper is to compare a 6-DOF blended code, 1-DOF nonlinear roll models and simplified analytical formulae, in order to assess the level of dispersion of the obtained roll motion predictions among tools with different levels of complexity. The roll response for a medium-sized stern trawler is investigated in regular beam and longitudinal waves, at zero speed. Results from the simplified models are in fair agreement with those from the 6-DOF code, at least for moderate wave steepnesses. Simplified models could provide a valuable tool for the assessment of fishing vessels behaviour at the early design stage, considering also their ease of implementation within typical existing naval architecture software.
DOI
10.1016/j.oceaneng.2017.11.032
WOS
WOS:000424175900025
Archivio
http://hdl.handle.net/11368/2914782
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85034606453
http://www.sciencedirect.com/science/article/pii/S0029801817306996
Diritti
closed access
license:copyright editore
FVG url
https://arts.units.it/request-item?handle=11368/2914782
Soggetti
  • Fishing vessel

  • Stability

  • Parametric roll

  • Dead-ship condition

  • Safety

Scopus© citazioni
7
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
15
Data di acquisizione
Mar 26, 2024
Visualizzazioni
1
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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