Learn about fine-tuning goal interactions and strengths to improve the solution.
lets you simulate the behaviors of real materials … and forces in the world. … In the generative design process this is useful … for form finding, structural optimization, … and simulating dynamic structures. … To set up a Kangaroo simulation you create input geometry … and then apply goals that define what you … want the model to do or what you want to optimize. … that may be so obvious in the real world … we forget to incorporate them into our model. … In this video we will walk through an example like this … where we do adjust and add goals … to get the behavior we're looking for. … In this exercise we will consider an inflated dome, … similar to those used for sports fields. … We want to simulate what happens as the volume of air … within the dome changes, … including if the air is intentionally evacuated, … collapsing the dome. … This example is based on a Kangaroo sample file, … raise in GH. … I have the example file open already. … First, let's add a Kangaroo Solver … and set it up to visualize the dome mesh. …
- 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
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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