International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
권호 표지
DOI QR코드

DOI QR Code

Optimization of compartments arrangement of submarine pressure hull with knowledge based system

  • Chung, Bo-Young (Dept. of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Kim, Soo-Young (Dept. of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Shin, Sung-Chul (Dept. of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Koo, Youn-Hoe (Dept. of Naval Architecture & Ocean Engineering, Pusan National University) ;
  • Kraus, Andreas (Hochschule Bremen)
  • Published : 2011.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study aims to optimize an arrangement of ship compartments with knowledge-based systems. Though great attention has been shown to the optimization of hull forms in recent years, the study on arrangement design optimization has received relatively little attention. A ship is both an engineering system and a kind of assembly of many spaces. This means that, to design an arrangement of ship compartments, it is necessary to treat not only geometric data but also knowledge on topological relations between spaces and components of a ship. In this regard, we select a suitable knowledge representation scheme for describing ship compartments and their relations, and then develop a knowledge-based system using expert system shell. This new approach is applied to create design variations for optimization on an arrangement of a pressure hull of a submerged vehicle. Finally, we explicate how our approach improves the design process.

Keywords

References

  1. Abt, C. Harries, S., 2007. A New Approach to Integration of CAD and CFD for Naval Architects. International Conference on Computer Applications and Information Technology in the Maritime Industries, 6th COMPIT 07, Cortona, Italy, pp. 467-479.
  2. Ackoff, R.L., 1989. From Data to Wisdom. Journal of Applied Systems Analysis, 16, pp. 3-9.
  3. Boulougouris E.K., Papanikolaou A. D. and Zaraphonitis G., 2004. Optimization of arrangements of ro-ro passenger ships with genetic algorithms. Ship Technology Research, 51(3), pp. 99-105. https://doi.org/10.1179/str.2004.51.3.002
  4. Burcher, R. and Rydrill, L., 1995. Concepts in Submarine Design, Cambridge University Press, pp. 282-285.
  5. Deb, K. Pratap, A. Agarwal, S. and Meyarivan, T., 2002. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2), pp. 182-197. https://doi.org/10.1109/4235.996017
  6. Gruber, T.R., 1993. A Translation Approach to Portable Ontology Specification. An International Journal of Knowledge Acquisition for Knowledge-Based Systems, 5 (2) pp. 199-220.
  7. Jackson, H.A., 1992. Submarine Design Trends. MIT Professional Summer Course.
  8. Kendal, S. and Creen, M., 2006. An Introduction to Knowledge Engineering, Springer.
  9. Noy, N.F. and McGuinness, D.L., 2000. Ontology Development 101: A Guide to Creating Your First Ontology. Technical Report KSL-01-05, Stanford University KSL.
  10. Papanikolaou, A., 2010. Holistic ship design optimization. Computer-Aided Design, 42, pp. 1028-1044. https://doi.org/10.1016/j.cad.2009.07.002

Cited by

  1. Study on the Application of an Expert System to Arrangement Design of Submarine vol.51, pp.2, 2014, https://doi.org/10.3744/SNAK.2014.51.2.138