Conventional structural design proceeds by establishing a rough geometry for a structure, determining internal forces, and sizing members to resist these forces. This design process assumes effectively infinite supplies of standardised elements. There are some cases, however, where structural materials are available in strictly finite quantities, or may not be processed into standard sections. In these instances, conventional design approaches are slow or ineffective, requiring time-consuming trial and error to develop viable designs, or not finding solutions at all. This paper proposes new computational design strategies to help designers match finite sets of diverse structural elements with desired structural forms. The methods proposed build on algorithmic techniques developed for the Bin- Packing Problem. Two key applications are discussed: the reuse of steel elements from deconstructed structures, and the use of unsawn round timbers in spatial structures.
|Publication status||Published - 25 Sep 2017|
|Event||IASS Annual Symposium 2017: Interface: architecture, engineering, science - Hamburg, Germany|
Duration: 25 Sep 2017 → 27 Sep 2017
|Conference||IASS Annual Symposium 2017|
|Period||25/09/17 → 27/09/17|