Video

BHD Star Cinplex – Parametric Modeling

 

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Creating Beam Stuctures with Karamba

In order to find the most optimal cross section for the structural members that comprise the facade, I used a modified version of Junghwo Park’s example file from Karamba’s website.  The example file and tutorial video can be found here.

Karama_Result_01

Overall beam optimization results from Karamba

 

Karama_Result_Detail_01

 

 

Structural_Analysis_Karamba

Karamba Example File

The main component used is the Optimize Cross Section component which determines where in the model structural members need to be thicker or thinner.

 

AA Angewandte 2017 – Surface Voxelization

This example takes a surface and voxelizes it according to the bending moment analysis. The resulting meshes can then be used in Processing.

Grashopper plugins required:

Karamba
Human

If you would like access to the files, send me an email and I’ll be more than happy to share them with you 🙂

 

01_Srf_Voxel_01.JPG

Step 1. Input the reference surface, within the 03_GH_INPUT_MESH layer, in Rhino by right-clicking on the mesh parameter in Grasshoper and select ‘set one mesh’. Do the same for the brep parameter for the support boundary, under 03_SUPPORT_BOUNDARY, which is a closed polysurface near the bottom of the surface.

02_Srf_Karamba_01.JPG

Step 2. Once inputed, the Karamba bending moment analysis will run. You can preview the results or bake the colored curves from the analysis by right-clicking on the bake component (this step requires the Human GH plugin to be installed on your computer). Points are generated from the resulting curves, which are the points used to populate the voxels in the next step.

03_Srf_3DArray.JPG

Step 3. Turn on the 00_CUBE layer to reveal the next inputs for voxelization. We will be voxelizing with cubes in this example, but the file provided also contains other voxel types to try out.

04_Srf_3DArray_2.JPG

Step 4. First, input the 3D array of cubes under the 00_CUBE_3D_ARRAY layer. Notice that there is a data dam here, which is like a play button– we’ll come back to this at the end when we want to run the whole script.

05_Srf_Sub.JPG

Step 5. The main principle of this voxelization is that the higher the bending moment, the more subdivided the voxel becomes. So we input two different voxel types that are populated on the points from the bending moment analysis. They are named accordingly— 00_CUBE_MESH_M goes inside the geometry parameter labeled Med Sub (subdivision) and so on.

 

06_Srf_Data_Dam.JPG

Step 6. Now, we go back to the play button from Step 4 and click on it to run the script. Voila! You have voxelized the surface!!

07_Srf_Voxelized.JPG

08_Srf_Voxelized_2.JPG

Step 7-8. Bake the resulting meshes inside the mesh parameter labeled ‘final meshes to bake’. You can also preview your work by turning on the custom preview to the right of this parameter.