Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship

ObjectiveAiming at the complexity of the navigation environment for shipping on the Yangtze River, as well as the high energy consumption and serious pollution of some ship types, there is an urgent need to carry out research on green and intelligent ship types. In this study, a knowledge graph is applied to the hull form design method so as to adapt to the green and intelligent technological development requirements in the optimization of ship types.MethodsThe knowledge graph and inference model of a Yangtze River bulk cargo ship hull form are introduced, and a knowledge graph-based hull form design process is proposed for the first time to complete the rapid design of an excellent hull form for a 6 000-ton Yangtze River bulk cargo ship. The hull form is then compared with that of a ship designed by conventional methods.ResultsDrag reduction effect of 2.39% is obtained compared with the conventionally designed hull form. ConclusionThe results of this study verify the effectiveness of the proposed knowledge graph-based hull form design method.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
DOI
https://doi.org/10.19693/j.issn.1673-3185.03855
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
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article

Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship

SHILAP Revista de lepidopterología
Maritime Transport Emissions and Efficiency
article

Application of hull form knowledge graph method in design of Yangtze River bulk cargo ship

article en

Abstract

ObjectiveAiming at the complexity of the navigation environment for shipping on the Yangtze River, as well as the high energy consumption and serious pollution of some ship types, there is an urgent need to carry out research on green and intelligent ship types. In this study, a knowledge graph is applied to the hull form design method so as to adapt to the green and intelligent technological development requirements in the optimization of ship types.MethodsThe knowledge graph and inference model of a Yangtze River bulk cargo ship hull form are introduced, and a knowledge graph-based hull form design process is proposed for the first time to complete the rapid design of an excellent hull form for a 6 000-ton Yangtze River bulk cargo ship. The hull form is then compared with that of a ship designed by conventional methods.ResultsDrag reduction effect of 2.39% is obtained compared with the conventionally designed hull form. ConclusionThe results of this study verify the effectiveness of the proposed knowledge graph-based hull form design method.

SHILAP Revista de lepidopterología
Wuhan University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 71%
Maritime Transport Emissions and Efficiency
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