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Converging technologies will soon disrupt the architecture, engineering, and construction (AEC) industry as new automated workflows emerge. Generative design is the pinnacle of these new workflows. Once a problem is thoroughly and adequately defined, all possible design variations can be produced, explored, scored, and optimized. This class will show that generative design can be used for MEP (mechanical, electrical, and plumbing) design engineering. We’ll use Revit software and Dynamo 2.0 to define a specific problem that will then be used to explore a range of design options for ceiling plans and duct layouts. We’ll then rank the design variations to explore cost and energy consumption using Project Refinery. Going through this exercise will show how, with a thoroughly defined problem, we can use data science to explore a more extensive array of design options to ultimately make better design choices, saving both time and money, and letting the engineer focus on more critical tasks.
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