GENETIC DESIGN


Our genetic design objective is to create deeply pliable algorithms that imitate the complete interconnection of biological genetic content. Our various algorithm combinations accomplish degrees of interconnection as we continue to aim for comprehensiveness. The programming of a genetic design is similar to making a seed, where genetic information governs the design variation so each genetic seed produces a unique, finely tuned tree. Yet despite their differences, they are all collectively identifiable as the same type of tree.

Our approach to design can be applied to many scales, extending beyond the scope of traditional architecture. We program genetic design products or buildings that can automatically adjust to fit the needs of many different clients based on strategic algorithm implicitization. We also deepen our project impacts by seeing our genetic design work through to production as part of our evolving design process with a diverse team of specialists in other fields.

Our most comprehensive representation of a genetic design so far is our Formid Seat. In this algorithm we have parametrically linked structural sizing, biomechanical fit, counterweight balance, custom 3D prints, tailored lasercut profiles, automated fabrication registrations, and aesthetic proportions together seamelssly. Formid was initiated as a precursor to our genetic design work in architecture.

In an architectural example, we fine tuned the subdivision of complex site topography into zones to maximize cost effectiveness. Blasting efforts on a large site were differentiated into cut and fill volumes along with the foundation structure and retaining walls. These were adjusted based on the fluid control over building placement including its location and size.

The benefits of genetic design are broad and we believe our efforts can contribute improvements to global waste management. Specifically, we believe our work has the potential to transform Molten Slag from a waste product into a valuable architectural material.




     PREVIOUS


NEXT