APPLICATION OF AI TECHNIQUE TO THE BUCKLING STRENGTH DESIGN OF LONGITUDINAL MEMBERS OF SHIP

It has been widely recognized that artificial intelligence (AI) can be utilized in engineering practice to improve product quality and reduce human labors. In this paper, a prototype expert system for supporting bulk carrier buckling and longitudinal strength design is proposed. In ship design, it is essential to minimize routine work consisting of analysis and synthesis, allowing satisfactory results to be easily obtained and structural safety maintained. Two primary difficulties in building an expert system for this purpose are those of providing for efficient data control supporting reanalysis and the programming of complex ramification for plastic analysis. This study shows the validity of AI techniques for resolving these two difficulties and for minimizing human labor irrelevant to intellectual design practice.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/05148499
• Supplemental Notes:
  • Journal article
• Authors:
  • Watanabe, O
  • Iinuma, M
• Publication Date: 1988-12

Language

• Japanese

Media Info

• Features: References;
• Pagination: 10 p.
• Serial:
  • Journal of the Society of Naval Architects of Japan
  • Volume: 164
  • ISSN: 0514-8499

Subject/Index Terms

• TRT Terms: Artificial intelligence; Buckling; Computer aided design; Expert systems; Longitudinal strength; Naval architecture; Vehicle design
• Uncontrolled Terms: Ship design
• Subject Areas: Design; Marine Transportation;

Filing Info

• Accession Number: 00657081
• Record Type: Publication
• Source Agency: Maritime Technical Information Facility
• Files: TRIS
• Created Date: Jul 21 1994 12:00AM