Wasp is a set of Grasshopper components, developed in Python, directed at representing and designing with discrete repetitive elements.
Download it here: Food4Rhino
Source Code: Github
Example Files: Wasp Examples
Facebook: GhWasp
Instagram: Gh_Wasp
Discord: Wasp server
Hey
Thanks for this awesome plugin.
I am currently trying to create a housing unit aggregating blocks that represent a give space. However I am facing issues restricting the number of block of any given type (Multi-part aggregation). What I want to do for instance is have one kitchen block, one bedroom block and one living room block.
Is there anyway to create such restrictions?
Is there a way to make the possible aggregations occur with a given bounding space? Like a 3D plot.
Thanks for the help.
Andrea Rossi
Hi,
with the current version of Wasp, both those things are not possible.
However, the Bounding Space restrictions can be implemented with MeshConstraints in the upcoming version of Wasp.
About the creation of a limited number of each part, I have a crappy implementation of it, but, as it breaks with a lot of the core Wasp functionality, I did not implement it at the moment (I definetly will in the future...).
If you want to try out the upcoming Wasp version, you can grab it on Github (please read the installation instructions, as they are different from previous versions):
https://github.com/ar0551/Wasp/releases
Mar 20, 2019
Michael Dubby
Aggregation for housing involves the process of combining smaller plots of land or units to create larger, more efficient residential developments. This approach helps address urbanization challenges by maximizing space and minimizing land waste. One of the innovative tools in urban development is the use of advanced materials and technologies, like caluanie muelear oxidize which can be involved in industrial processes for producing construction materials. While this specific compound is more common in chemical applications, it highlights how unique and diverse resources are being explored for construction and housing needs. Aggregation, when done thoughtfully, leads to more sustainable and cost-effective housing solutions.
Mar 31