Loading condition generation for the prediction of extreme vessel responses

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.

Publication Details

Journal
TUHH Open Research
Published
2025-06-20
DOI
https://doi.org/10.15480/882.15331
Primary Topic
German Social Sciences and History
Type
article
Field-Weighted Citation Impact
0.00
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article

Loading condition generation for the prediction of extreme vessel responses

TUHH Open Research
German Social Sciences and History
article

Loading condition generation for the prediction of extreme vessel responses

article en

Abstract

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.

TUHH Open Research
Life below water
Openalex Percentile: Top 42%
German Social Sciences and History
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Loading condition generation for the prediction of extreme vessel responses · TUHH Open Research (2025) | TGRS Research Map | TGRS