The design of ship hullforms is a complicated and time consuming process involving (1) an accurate description of the hullform geometry and (2) a prediction of the performance characteristics of the ship. Until recently, the latter generally involved conducting physical model experiments in the form of towing tank tests which greatly increase the time needed for a design to be completed. Advances in computer technology and the use of regression analysis and numerical fluid dynamics codes have made the process faster, but the process of designing a ship is still accomplished through a series of sequential phases which have to be performed independently and frequently on different hardware. Results of one phase have to be translated to formats accepted by the next and succeeding phases and this data exchange discontinuity makes the turn around time greater. The lack of an on-line database containing performance data on a wide range of previous designs makes the conceptual design of new innovative (non-standard) ships quite tedious. The application of artificial intelligence techniques and ideas has so far been inhibited even though marine design would be a very good testbed for such methods. Some attempts to develop integrated CAD systems for ship design and construction are under way. This paper explores the potential use of artificial intelligence in an integrated ship design, analysis and evaluation system.


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    Title :

    Artificial intelligence and ship design, analysis and evaluation


    Additional title:

    Künstliche Intelligenz und Schiffsentwurf, Analyse und Bewertung


    Contributors:
    Glinos, N. (author)


    Publication date :

    1991


    Size :

    6 Seiten, 3 Bilder, 26 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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