Skip to main content

Research Engine: A Tool to Simulate and Study Spatial-Structural Design Processes

  • Conference paper
Global Design and Local Materialization (CAAD Futures 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 369))

Abstract

The project’s objective is to study spatial-structural design processes and to support the involved actors; to that end a computational tool so-called Research Engine (RE) has been developed. The RE seeks to fulfill four aims: (1) to study the influence of transformations methods on design instances; (2) to study the influence of transformations methods on the behavior of other transformations methods; (3) to aid in finding “best compromised” or interesting spatial and structural design instances; and (4) to serve as design support tool, providing useful information in early stages of the design process. The paper describes the RE framework and its implementation. Case-studies are presented which showcase the RE’s capabilities and demonstrate that it does fulfill the previously stated aims.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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.

References

  1. Cross, N.: Engineering Design Methods, 4th edn. John Wiley & Sons, Ltd., Chichester (2008)

    Google Scholar 

  2. Brooks, F.P.: The Design of Design, 1st edn. Addison-Wesley Professional, Boston (2010)

    Google Scholar 

  3. Kalay, Y.E.: Architecture’s New Media: Principles, Theories and Methods of Computer-Aided Design, vol. 3. MIT Press, Massachusetts (2004)

    Google Scholar 

  4. Grobman, Y.J., Yezioro, A., Capeluto Guedi, I.: Non-Linear Architectural Design Process. International Journal of Architectural Computing 08(01), 41–54 (2010)

    Article  Google Scholar 

  5. Haymaker, J., Fischer, M., Kunz, J., Suter, B.: Engineering Test Cases to Motivate the Formalization of an AEC Project Model as a Directed Acyclic Graphs of Views and Dependencies. Journal of Information Technology in Construction 9, 419–441 (2004)

    Google Scholar 

  6. Shea, K., Aish, R., Gourtovaia, M.: Towards integrated performance-driven generative design tools. Automation in Construction 14(2), 253–264 (2005)

    Article  Google Scholar 

  7. Coates, P.: Programming. Architecture. Routledge (2010)

    Google Scholar 

  8. Cross, N.: Designerly Ways of Knowing. Design Issues 17(3), 49–55 (2006)

    Article  Google Scholar 

  9. Maher, M.L., Poon, J., Boulanger, S.: Formalising Design Exploration as Co-evolution: A Combined Gene Approach. In: Advances in Formal Design Methods for CAD: Proceedings of the IFIP WG5.2 Workshop on Formal Design Methods for Computer-Aided Design, pp. 3–30. Springer (1996)

    Google Scholar 

  10. Gero, J.S.: The situated function behaviour structure framework. Design Studies 25(4), 373–391 (2004)

    Article  Google Scholar 

  11. Mora, R., Rivard, H., Bédard, C.: Computer Representation to Support Conceptual Structural Design within a Building Architectural Context. Journal of Computing in Civil Engineering 20(2) (2006)

    Google Scholar 

  12. Shea, K., Cagan, J.: Languages and semantics of grammatical discrete structures. Artificial Intelligence for Engineering Design Analysis and Manufacturing 13(04), 241–251 (1999)

    Article  Google Scholar 

  13. Stiny, G.: Introduction to shape and shape grammars. Environment and Planning B Planning and Design 7(3), 343–351 (1980)

    Article  Google Scholar 

  14. Knight, T.: Designing with grammars. In: Computer-Aided Architectural Design, pp. 33–48 (1992)

    Google Scholar 

  15. Pinto Duarte, J., Wang, Y.: Automatic generation and fabrication of designs. Automation in Construction 11(3), 291–302 (2002)

    Article  Google Scholar 

  16. Hofmeyer, H., Davila Delgado, J.M.: Automated Design Studies: Topology versus One-Step Evolutionary Structural Optimisation. Submitted to Advanced Engineering Informatics

    Google Scholar 

  17. Xie, Y.M., Steven, G.P.: Technical note: A simple evolutionary procedure structural optimization. Computers & Structures 49(5), 885–896 (1993)

    Article  Google Scholar 

  18. Sigmund, O.: A 99 line topology optimization code written in Matlab. Structural and Multidisciplinary Optimization 21(2), 120–127 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dávila Delgado, J.M., Hofmeyer, H. (2013). Research Engine: A Tool to Simulate and Study Spatial-Structural Design Processes. In: Zhang, J., Sun, C. (eds) Global Design and Local Materialization. CAAD Futures 2013. Communications in Computer and Information Science, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38974-0_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38974-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38973-3

  • Online ISBN: 978-3-642-38974-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics