Published 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.64 GB | Duration: 5h 49m
Optimization Proposals with Computational Design What you'll learn Apply computational design principles in real situations Parameterize complex designs with the use of visual programming (Dynamo) Understand the basic concepts associated with generative design workflows Use Python as an added value in the design chain to address eeering and architectural problems Requirements Previous mastery of Revit Description The need to design more efficiently and with higher quality in construction projects forces us to use tools designed to optimize 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 deteed 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.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 , 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. Overview Section 1: Etapas y pasos de Diseno Generativo 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 Section 2: Flujos de trabajo multidisciplinario para Diseno Generativo Lecture 6 Example of generative design - MaRs Innovations District Lecture 7 What is an algorithm? Lecture 8 Options Eeering 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 Section 3: Implementacion de diseno generativo en firmas de arquitectura e ingenieria Lecture 29 Generative design in organizations Lecture 30 Next steps Designers,Professionals and students of architecture and eeering careers HomePage:
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