IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-57072-3_7.html
   My bibliography  Save this book chapter

Shape Grammars: A Key Generative Design Algorithm

In: Handbook of the Mathematics of the Arts and Sciences

Author

Listed:
  • Ning Gu

    (University of South Australia, School of Art, Architecture and Design)

  • Peiman Amini Behbahani

    (University of South Australia, School of Art, Architecture and Design)

Abstract

Shape grammars are one of the main generative design algorithms. The theories and practices of shape grammars have developed and evolved for over four decades and showed significant impact on design computation and contemporary architecture. The formal computational approach to generative design as specified in shape grammars, and the novel descriptions and applications of shapes and shape rules for representing and composing a design, has become the foundation and inspiration for many contemporary computational design methods and tools, especially parametric design, which is a current leading computational design method. This chapter gives an overview of the historical developments and applications of shape grammars. The algorithm is introduced by highlighting the background, key components, and procedures for design generation, methods, and issues for authoring shape grammars, shape grammar evolution and extension, purposes of shape grammar application, as well as implementation of shape grammars. The characteristics of shape grammars are presented and discussed by comparing them to other key generative design algorithms, some of which have been applied in conjunction with shape grammars. This chapter shows that shape grammars have significant potentials in design generation, analysis, and optimization, as seen in many of the grammar studies. The future directions should focus on further research, improved pedagogy, as well as validation in design practice, to further advance the field.

Suggested Citation

  • Ning Gu & Peiman Amini Behbahani, 2021. "Shape Grammars: A Key Generative Design Algorithm," Springer Books, in: Bharath Sriraman (ed.), Handbook of the Mathematics of the Arts and Sciences, chapter 52, pages 1385-1405, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-57072-3_7
    DOI: 10.1007/978-3-319-57072-3_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-319-57072-3_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.