Please enter the following info in the fields above:
Your Name as the Card title
The link to your Module 7 folder in our Autodesk Construction Cloud project
Please also type the first few letters of your first name into the Link to Student field, then hover over your name from the list of matching records and click the blue plus sign to link this entry to your Design Journal.
Then, share your Design Journal entry here (replacing these instructions) ... Click the text area below the headers and just start typing your response. There's no need to add new properties.
Please include:
‣
Step 1 - Generative Design Framework
A very brief description of the design decisions from Step 1 following the Generative Design Framework.
Design Decision 1: Life Cycle Cost
Design Variables
building height
building width / radius
roof angle / shape
Evaluators
initial construction cost
operational energy savings
potential revenue
Most Important Tradeoffs to Consider
Life cycle cost by trading off between initial investment and long-term value (via energy savings and revenue).
Design Decision 2: Sustainability
Design Variables
glazing ratio
window orientation
envelope air tightness level
Evaluators
annual energy use
initial capital cost
daylighting
Most Important Tradeoffs to Consider
Energy Efficiency vs. Cost: Higher-performance envelopes reduce operational cost but increase capital cost.
Design Decision 3: Construction Schedule and Planning
Design Variables
complexity of building geometry and systems
level of prefablication or modularization
sequence and dependency of trades
Evaluators
total construction duration
number of trades requiring overlap or rework
schedule float or buffer time required
Most Important Tradeoffs to Consider
Unique design vs. Construction timeline: Uncommon detailing and sequencing may extend project duration and create uncertainties.
‣
Step 2 - Generative Design Study
Objective: The goal of this Generative Design study is to find the ideal building shape that minimizes construction cost while maximizing long-term energy savings and rentable floor area. The aim is to reduce life cycle costs by balancing initial investment with future operational value.
Model: The model uses a simple square base with adjustable width and height to form a box-shaped building. The geometry is generated using these parameters, and surface area, roof area, and floor area are calculated to evaluate cost, energy savings, and potential revenue.
Design Variables: Width and length of the square base, and floor height and No. of Floors.
Constrains: 1. Minimum and maximum floor height and No. of Floors. 2. Min. and Max. floor width and length. 3. Fixed price of construction cost per square foot on floors, walls and roof. 4. Fixed price of property potential revenue per square foot. 5. Fixed price of energy savings per square foot (assume that all exterior wall and roof area will be installed insulated windows).
Evaluators: 1. Construction cost based on surface and floor area to be minimized. 2. Energy savings based on exterior walls and roof area for solar/wind to be maximized. 3. Potential revenue based on total floor area to be maximized.
‣
Step 3 - Generative Design Study Results
The screenshot of the Scatterplot or Parallel Coordinates Graph illustrating the tradeoff that you chose to model and study.
Provide a brief explanation of what’s being shown in the Scatterplot or Parallel Coordinates Graph and how the tradeoff being illustrated would impact the design decision. What would you do with this info?
This Parallel Coordinates Graph shows different building design options and how they affect construction cost, yearly revenue, and energy savings. Each line represents one design, with variables like number of floors, floor height, width, and length. The graph shows that larger buildings with more floors can generate higher revenue and energy savings, but they also cost much more to build. This helps designers compare options and find a good balance between cost and benefits. Based on this, I would look for designs that stay within budget but still offer strong financial returns.
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.
