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Loading condition generation for the prediction of extreme vessel responses
Citation Link: https://doi.org/10.15480/882.15331
Publikationstyp
Journal Article
Date Issued
2025-06-20
Sprache
English
TORE-DOI
Journal
Citation
Ship Technology Research (in Press): (2025)
Publisher DOI
Scopus ID
Publisher
Taylor and Francis Ltd.
This paper delineates the process necessary for generating a large number of loading conditions for a seagoing cargo vessel, which are needed for an extensive analysis of the ships seakeeping behaviour. First legislative and operational limits of the floating position and its properties are described. This is followed by the chosen mathematical representation of the cargo and ballast iteration process. Results are presented for four different types of cargo vessels and concluded with an outlook on possible applications.
Subjects
artificial intelligence | international maritime legislation | seakeeping | Ship operations | ship performance | ship safety
DDC Class
623: Military Engineering and Marine Engineering
519: Applied Mathematics, Probabilities
Publication version
publishedVersion
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Name
Loading condition generation for the prediction of extreme vessel responses.pdf
Type
Main Article
Size
1.58 MB
Format
Adobe PDF