Abstract
The proliferation of parametric tools has allowed for the design of previously impossible geom- etry, but the construction industry has failed to keep pace. We demonstrate the use of industrial robots to disrupt the ancient process of casting concrete and create an adjustable formwork capable of generating various cast components based on digital input, crafting a new approach to “programmable matter.” The resulting research delineates a novel methodology to facilitate otherwise cost-prohibitive, even impossible design. The MARS Pavilion employs this methodology in a building-sized proof of concept where manipulating fabric with industrial robots achieves previously unattainable precision while casting numerous connective concrete components to form a demountable lattice structure. The pavilion is the result of parametric form finding, in which a catenary structure ensures that the loads are acting primarily in compression. Every concrete component is unique, yet can be assembled together with a 1/16-inch tolerance. Expanding Culver & Sarafian’s previous investigations, industrial robot arms are sent coordinates to position fabric sleeves into which concrete is poured, facilitating a rapid digital-to-physical casting process. With this fabrication method, parametric variation in design is cost-competitive relative to other iterative casting techniques. This digital breakthrough necessitated analogue material studies of rapid-setting, high-strength concrete and flexible, integral reinforcing systems. The uniquely shaped components are coupled with uniform connectors designed to attach three limbs of concrete, forming a highly stable, compressive hex-grid shell structure. A finite element analysis (FEA) was a critical step in the structural engineering process to simulate various load scenarios on the pavilion and drive the shape of the connective elements to their optimal form
Cite
CITATION STYLE
Sarafian, J., Culver, R., & Lewis, T. S. (2022). Robotic Formwork in the MARS Pavilion: Towards The Creation Of Programmable Matter. In Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) (pp. 522–533). ACADIA. https://doi.org/10.52842/conf.acadia.2017.522
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