Skip to main content

Duality-based Transformation of Representation from Behaviour to Structure

  • Conference paper
Global Design to Gain a Competitive Edge
  • 2260 Accesses

Abstract

Behaviour bridges function and structure. The designing process is investigated by analogy with embryo development and this approach leads to a six-stage designing process: the function specification, the behavior representation of function, the behavior induction, the behavior specification, the transformation from behavior to feature, and the parameter optimization. To map the behavior into the feature of structure is a key issue for structure development. The paper presents a bioinspired mechanism: gene transcription and a duality-based algorithem to achieve the transformation. The computational model is established and a design case is illustrated to show the method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

8. References

  1. Chandrasekaran B, Josephson JR, (2000) Function in device representation, engineering with computers. Computer Aided Engineering 16:162–177

    MATH  Google Scholar 

  2. Gero JS, (1990) Design prototypes: a knowledge representation schema for design. AI Magazine 11(4): 26–36

    Google Scholar 

  3. Pahl G, Beitz W, (1986) Konstruktionalehre, Spring-Verlag, Berlin/Heidelberg

    Google Scholar 

  4. Suh NP, (1998) Axiomatic design theory for systems. Research in Engineering Design 10:189–209

    Article  Google Scholar 

  5. Öberg J, O’Nils M, Jantsch A, (2001). Grammar-based design of embedded systems. Journal of Systems Architecture 47: 225–240

    Article  Google Scholar 

  6. Kamal Mubarak, (2005) Design composition in architecture dissertation. Carnegie Mellon University, PhD Dissertation

    Google Scholar 

  7. Chen G, Ma YS, Thimm G, Tang SH, (2005) Knowledge-based reasoning in a unified feature modeling scheme. Computer-Aided Design & Applications 2(1–4): 173–182

    Google Scholar 

  8. Horváth I, Vegte WFVD, (2003) Nucleus-based product conceptualization: principles and formalization. Proceedings of ICED’ 03, Stockholm 1–10

    Google Scholar 

  9. Bozzo LM, Barbat A, Torres L, (1998) Application of qualitative reasoning in engineering. Applied Artificial Intelligence 12: 29–48

    Article  Google Scholar 

  10. Hernandez G, (2000) Integrating product design and manufacturing: a game theoretic approach. Engineering Optimization 32(6): 749–775

    Article  Google Scholar 

  11. Gero JS, (1996) Creativety, emergency, and evolution in design, Knowledge-Based System 9: 435–448

    Article  Google Scholar 

  12. Lipson H, Pollack JB, (2000) Automatic design and manufacture of robotic life forms. Nature 406(31): 974–978

    Google Scholar 

  13. Teng DX, Tong BS, (2000) Research on bionics structure design based on morphogenesis. Mechanical Science and Technology, 20(4): 483–484 (in Chinese).

    Google Scholar 

  14. Al-Hakim L, Kusiak A, Mathew J, (2000) A graph-theoretic approach to conceptual design with functional Perspectives. Computer-Aided Design 32: 867–875

    Article  Google Scholar 

  15. Shai O, (2001) Deriving structure theorems and methods using Tellegen’s theorem and combinatorial representations. Int. Journal of Solids and Structures 38: 8037–8052.

    Article  MATH  MathSciNet  Google Scholar 

  16. Shai O, Reich Y, (2004) Infused design I: theory. Research in Engineering Design 15: 93–107

    Google Scholar 

  17. Shai O, (2002) Utilization of the dualism between determinate trusses and mechanisms. Mechanism and Machine Theory 37: 1307–1323

    Article  MATH  Google Scholar 

  18. Shai O, Pennock GR, (2006) Extension of Graph Theory to the Duality Between Static Systems and Mechanisms. Journal of Mechanical Design 128: 179–191

    Article  Google Scholar 

  19. Hou YM, Ji LH (2006) Representation and neural network induction model with growth form design. Advanced Design and Manufacturing for Sustainable Development, Frontiers of Design and Manufacturing, Sydney, Australia 1: 153–158

    Google Scholar 

  20. Slack JMW, (1997) From Egg to Embryo-Regional Specification in the Early Development, Second Edition. Cambridge University Press

    Google Scholar 

  21. Tucker A, (1995) Applied Combinatorics, Third Edition. John Wiley & Sons, Inc., New York

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag London Limited

About this paper

Cite this paper

Hou, Y., Ji, L. (2008). Duality-based Transformation of Representation from Behaviour to Structure. In: Yan, XT., Ion, W.J., Eynard, B. (eds) Global Design to Gain a Competitive Edge. Springer, London. https://doi.org/10.1007/978-1-84800-239-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-84800-239-5_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-238-8

  • Online ISBN: 978-1-84800-239-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics