Dark Matter Garden: A case study in algorithmic modelling and digital fabrication of complex steel structures

Abstract

This paper is focusing on the application of algorithmic modelling techniques to represent, design and fabricate gravitational lens effects (as described by the astrophysical theory of the ‘Dark Matter’) in form of a garden pavilion for the Royal Horticultural Society’s, Chelsea Flower Show. In addition, this research-led project is exploring the challenges occurring in the use of three-dimensional CNC bending technologies. This is a research by design project and its method is based on a design framework, which incorporates a generative algorithm linked to feedback loops related to parameters such as laws of gravity, plot dimensions, materiality, positioning of the plants, construction and fabrication, requirements and cost as well as the overall aesthetics. Its findings are highlighting accomplishments and failures of a file to factory design and fabrication process, which incorporates algorithmic modelling and digital manufacturing techniques in a collaborative environment. The ‘Dark Matter Garden’ installation was awarded the gold medal for ‘Best Fresh Garden’ by the Royal Horticultural Society in 2015.

Keywords

Algorithmic design / Parametric design / CNC bending / Digital fabrication

RIGHTS & PERMISSIONS

2019 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).