Karamba 101: Introduction to Parametric Engineering
Simulation and Analysis
Learn how to use Karamba, a parametric structural engineering plugin for Grasshopper.
About this course
We will start by going briefly over the installation process and the different licenses that exist. For this course, the free version is sufficient, which you can download here. We will then go over the six basic steps needed to setup a Karamba Statical Model. This minimal setup is always required and you can use this base definition in all your future uses of Karamba.
Next, we will create our first load case scenario using two simple beams and a point load. We will go over the different components of Karamba, their inputs and outputs, and what they all mean.
In the second part of the course, we will create a simple canopy we will use for our structural analysis. The canopy consists of a space-frame and a cover we can control parametrically. When we’ve specified the supports, materials and load cases, we will perform a structural analysis on the structure. We will take a critical look at the results, like maximum displacement, resulting force of gravity, and internal elastic energy. We will also visualize the results to get a better understanding of how our structure behaves under our loads.
The last part will consist of using Silvereye to optimize the structure. Silvereye works similar to Galapagos and is pretty straightforward to use. We’ll use the results from the previous lesson – maximum displacement, and internal elastic energy – as our fitness values to optimize.
1.- Introduction to the course and installing Karamba01min 33seg
2.- Explaining the six basic steps needed to create a Karamba Statical Model08min 46seg
3.- Creating our first simple load case scenario19min 47seg
4.- Setting up the geometry for our 2nd exercise: A simple canopy13min 04seg
5.- Creating a simple spaceframe from our canopy13min 07seg
6.- Transforming our spaceframe into a Karamba Analysis Model17min 33seg
7.- Performing a structural analysis on our spaceframe19min 10seg
8.- Optimizing our spaceframe using the evolutionary solver Silvereye20min 23seg