Ship superstructures, as typical examples of non-standard design elements, require diverse structural geometric designs and frequent adaptations to meet evolving demands and simulation requirements during the detail design process. However, the utilization of current ship computer-aided design (CAD) systems for detail design presents several limitations, and traditional parametric methods often fall short in complex geometric parameterization. This paper proposed intelligent templates via knowledge-based engineering (KBE) to enhance CAD models' robustness and applicability. The study focused on three specific geometric problems that restrict the validity of parameterization: varying types of input conditions, multiple solutions in offsets and arc fillets, and non-topological transformations. Three representative structural component templates were developed on CATIA V6, showcasing effectiveness compared to traditional methods through a ship design task. Furthermore, this approach provides the basis for the implementation of modular design, design automation, and integrated design simulation.


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    Titel :

    Intelligent templates to prevent geometric parameterization failure in ship superstructure structural detail design


    Weitere Titelangaben:

    SHIPS AND OFFSHORE STRUCTURES
    S. XU ET AL.


    Beteiligte:
    Xu, Sihao (Autor:in) / Yang, Xuehang (Autor:in) / Cheng, Zhe (Autor:in) / Wang, Deyu (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.02.2025


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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