BIM Generative Design with Revit - AulaGEO

The need to design more efficiently and with higher quality in construction projects forces us to use tools designed to optimize time and resources. The mastery of Computational and Generative Design opens the possibility of applying a large number of innovative techniques for the conception of projects and the evaluation of multiple alternatives in an efficient and fast way, obtaining unbeatable results.

In this course, we will address one of the most interesting applications that we currently find within the computational design: Generative Design. Thanks to the previous modules we will have understood how to translate design requirements into programmable rules, now we will be able to use optimization algorithms that iterate over these rules in a range of values previously determined by the designer. This will expand our universe of options from a few alternatives to thousands or hundreds of thousands, resulting in optimal solutions even in the most complex and difficult-to-evaluate cases.

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The possibility of applying new design techniques greatly expands the range of solutions that can be offered to end customers for project execution. At the same time, it gives the designer the opportunity to grow in competitiveness and face new challenges.

In this course, in addition to explaining the use and possibilities, and advantages of Generative Design within an organization, we will also recommend some actions to put into practice in order to choose the work team in your company that will provide optimal solutions to the challenges that arise.

Content of the course

Stages and steps of Generative Design

• Lecture 1: Welcome

• Lecture 2: Introduction to Generative Design

• Lecture 3: Computational Design

• Lecture 4: Generative Design

• Lecture 5: Stages and steps of generative design

Multidisciplinary Workflows for Generative Design

• Lecture 6: Example of generative design - MaRs Innovations District

• Lecture 7: What is an algorithm?

• Lecture 8: Options Engineering

• Lecture 9: Optimization

• Lecture 10: Genetic Algorithms

• Lecture 11: Visual Programming

• Lecture 12: Introduction to Dynamo

• Lecture 13: User Interface

• Lecture 14: Hello world in Dynamo

• Lecture 15: Data types

• Lecture 16: Lists

• Lecture 17: Revit elements

• Lecture 18: Generative design tool in Revit

• Lecture 19: Creation of a Generative Design study

• Lecture 20: Simple case - Highest point of a surface

• Lecture 21: Simple Case - Minimum Volume and Maximum Surface Area

• Lecture 22: Building Massing Generator

• Lecture 23: Positioning building according to solar incidence

• Lecture 24: Optimized office space planning

• Lecture 25: Placement of objects in a grid

• Lecture 26: Random object placement

• Lecture 27: Distribution of luminaires

• Lecture 28: Placement of views on sheets

Implementation of generative design in architecture and engineering firms

• Lecture 29: Generative design in organizations

• Lecture 30: Next steps