Computational Design
Computational Design
Computational design uses algorithms, parametric models and simulation to explore design options and connect geometry with performance, fabrication or environmental goals.
Tools and technologies
- Rhino + Grasshopper
- Revit + Dynamo
- Blender / Geometry Nodes
- Python
- FreeCAD
- Ladybug Tools
- EnergyPlus
- GIS and BIM workflows
Practical examples
- Generate room layouts from site dimensions and minimum-space rules.
- Compare façade shading options using solar studies.
- Create a parametric roof or component schedule from a few adjustable dimensions.
Application areas
- Architecture and urban design
- Daylight and energy analysis
- Structural form exploration
- BIM automation
- Digital fabrication
- Site and environmental analysis
Suggested hands-on project
Mini project: model a small office mass in a parametric tool, vary orientation and shading depth, then compare daylight or solar exposure. Check code requirements and verify simulation assumptions before drawing conclusions.
A typical workflow
Define design constraints → build a parametric model → generate alternatives → evaluate performance → review with human expertise → document decisions → coordinate the selected design.
How to get started
Choose one small, measurable problem, build a prototype with sample data, document assumptions, test common failure cases, and collect feedback before expanding it.
Responsible use: A visually convincing model is not proof of structural safety or code compliance. Validate geometry, units, inputs and simulations with qualified professionals.