설명
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.
주요 학습
- Learn how to access a linked Revit model and analyze geometry
- Learn how to define a geometry-related design problem with Dynamo algorithms
- Learn how to optimize MEP designs with tools like Project Refinery
- Learn how to build multitask algorithms in Dynamo
발표자
Sean FruinSean Fruin is a Mechanical Engineer and Mechanical Applications Product Owner at IMEG, a full-service engineering firm with over 60 offices throughout the US. He is fascinated with automation and exploring computational design solutions for MEP design. He has had the opportunity to learn many aspects of the design industry, working in manufacturing as an MEP designer and consulting for General Contracting around the globe, specializing in BIM Management and Autodesk Revit development. Sean is living his dream, playing with the latest technologies, acquiring the knowledge to innovate, improving efficiency, and sharing his insights with the AEC community.
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