Please enter the following info in the fields above:
- Your Name (just type your name, then click Create to add yourself to the list)
- Paste the link to your BIM 360 folder in the BIM 360 Link field.
The Design Decision I Studies
Please enter a very brief description of the design decision you studied (two to three sentences max).
The design decision I studied is associated with structural design for a high-rise tower. This study takes tower base radius, tower rotation and tower top height as inputs and generates space efficiency, total insolation and total cost as outputs. The aim of this study is to look into the relationship between various decision variables and use the results to aid in making design decisions.
Image of Your Dynamo Study Graph
Paste an image of your Dynamo Study Graph (showing all your nodes and the connecting logic) -- You can use the File > Export Workspace As Image... command in Dynamo to save a PNG image to upload with your posting.
Image of Your Outcomes / Results
Paste a screenshot of the Scatterplot showing outcomes that illustrate the tradeoff that you chose to model and study.
The x- and y-axes in this scatter plot represent total cost and space efficiency, respectively. The scatter size represents the top of the tower, while the scatter color represents total insulation. As shown above, there is a tradeoff between cost and space efficiency. A higher space efficiency would often lead to a higher cost, indicating by the inclining trendline. Interestingly, the tower height is found to have a direct relationship with space efficiency. For the same cost, a lower height would yield a higher space efficiency, which can be seen from the plot that small scatters lie above large scatters at the same x-axis value. When it comes to the total insolation, this evaluator is observed to have a linear relationship with building height. From the plot, a smaller scatter has a more reddish color compared to a larger scatter has a more greenish/blueish color. It can then be concluded that total insolation and tower height are linearly related to each other. Therefore, similar relationship among space efficiency, cost and tower height also applies to the total insolation. The aim of this study is to look into the relationship between various decision variables and use the results to aid in design decisions. To summarize, clients who want a high level of space efficiency and insolation for this structural design must pay more as a tradeoff. Furthermore, if clients want to save money while still getting a lot of insolation, they can do so by having a lower space efficiency.