The project focuses on designing a parameterized roof structure for the space between the BlueBox and the seminar building at Bochum University of Applied Sciences. The goal is to create a column free, adaptable framework that can be easily optimized without complex 3D modelling. Rhino and its Grasshopper plugin are used for the mathematical modelling, allowing real-time adjustments through control points. The structure is subdivided into triangular panels with the LunchBox plugin, creating an arched form.
Using the Koala plugin, the model is converted into an XML file readable by SCIA Engineer, enabling detailed structural analysis. This parametric approach allows for automatic load distribution, including self-weight, snow, and wind loads, and ensuring structural integrity. Wind and snow loads are calculated using shape coefficients, while a Python script identifies support points to maintain a fully parametric model. The project also integrates PV panels and simplifies manufacturing, potentially generating CNC data directly. Though iterative optimization algorithms were introduced, they remain a theoretical aspect due to their computational complexity.
The student used a very nice approach to optimize a timber canopy via parametric design using Grasshopper, Galapagos and Koala. Multiple variants were analyzed with second-order effects and bow imperfections taken into account.
Third place in the SCIA Student Contest 2024
The student used a very nice approach to optimize a timber canopy via parametric design using Grasshopper, Galapagos and Koala. Multiple variants were analyzed with second-order effects and bow imperfections taken into account.
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