New York, the US Building Science & Technology Elective, GSAPP, Autumn 2021 Academic Work Mentor | Danil Nagy Team Members*| Jiaying Qu, Lichong Tong, Ningyuan Deng, Shikang Ding Medium
During the COVID-19 pandemic, students and faculty at school often opted to dine outdoors. To accommodate this, sheds were constructed in open spaces to provide protection from the sun and rain.
Our focus was on redesigning the shed located in front of the Alma Mater statue at Low Plaza, a key area on campus. By employing generative design techniques, we developed algorithmic models in Grasshopper and utilized the Discover plugin for optimization. This approach allowed us to achieve an optimal design that minimizes interference with foot traffic, enhances interior lighting, and improves space utilization.
Minimizing route distance, maximizing distance from center to the boundary, and maximizing dining area are three objectives in step one. In step two, the objective is to get the maximum number of tables.