Grid Motion and Deformation
For this studio project, I explored the relationship between architectural form and grid systems through computational design. Using Python and pixel sorting algorithms, I developed a method to systematically deform grid structures into dynamic architectural forms.
My contribution
Architectural Design
Research
Computation
Starting with a basic cuboid form overlaid on a grid, I wrote Python scripts to manipulate pixels along specified angles. The initial exploration used a 45-degree sorting path to create diagonal distortions. By adjusting degree flags (parse -p deg-0-360), I could control the direction and intensity of the grid deformation.
Form Evolution
The project progressed through several key iterations:
First iteration: Single diagonal distortion using deg-45
Second iteration: Split distortion combining deg-90 and deg-180
Final form: Animated distortion spanning 0-360 degrees, transitioning from horizontal to vertical sorting
Physical Translation
The computational experiments were translated into physical models that explored material relationships. The final prototype demonstrated how digital manipulations could inform physical architectural elements while maintaining a connection to the original grid structure.
