The methodology combines ground-structure optimization, finite element analysis, and heuristic material redistribution to generate structurally efficient bridge variants. Additional optimization tools, such as Young’s modulus penalization and construction constraints, were implemented to steer the design towards compression-dominated and print-feasible solutions.

To navigate the resulting high-dimensional dataset, I developed an interactive dashboard in Dash (Plotly) that allows users to explore the design space and answer two key questions: “What to design?” and “How to design?”. The tool enables filtering, multi-objective comparison, and visualization of parametric implications, supporting informed decision-making in early-stage design.

The resulting framework demonstrates how generative design and user-guided exploration can be combined to better utilize the geometric freedom and manufacturing constraints of 3D concrete printing.More information can be found here.