Learn how to run the solver, interpret results, and make adjustments.
- [Instructor] I have my exercise file open already. … We're in the process of building out … our generative design model … and we're closing in on the final steps. … We've set up our site, our sine wave surface. … We've created a roof from the sine wave and the site. … We've calculates sides and views … and used those to determine a fitness value … to optimize the roof. … We've laid out a structure … and we've set up some roof paneling. … Now we're actually going to create our structural system … based on the layout that we've already set up. … The challenge is to create a system … that can be responsive to different geometries of roofs. … Depending on the evolutionary solution, … the shape of this roof can change dramatically. … So, we're going to use a nesting approach. … We're going to use the regions … that we've created for the structure … and build an actual structure … that nests within as it moves up. … So the first thing that I'm going to do, … go to sets, tree, and we're going to simplify the tree. …
- What is generative design?
- Limitations of generative design
- Strengths and limitations of genetic/evolutional solvers
- How physics solvers work
- Testing and adjusting goals
- Working with machine learning tools
- Design requirements and diagramming
- Optimizing with Galapagos
Skill Level Intermediate
Grasshopper: Architectural Prototypingwith Walter Zesk2h 28m Intermediate
Learning Algorithmic Design with Grasshopperwith Chris Reilly3h 14m Intermediate
1. What Is Generative Design?
2. Genetic/Evolutional Solver Example
3. Physics Solver Example
4. Machine Learning Solver Example
5. Applying Generative Design
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