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Elefront 101 Distributed Data Models With Rhino Objects

      Author: Baturi   |   11 November 2022   |   comments: 0

Elefront 101 Distributed Data Models With Rhino Objects
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.35 GB | Duration: 4h 16m
Learn how to create distributed data models with Elefront.
What you'll learn


Description
About
As Grasshopper models have become an industry standard, there is the need of being able to control and update the vast amount of information these generate and navigate the increasing complexity these produce.
Nowadays there is no way to create a single model that can store or handle all the information necessary for a project also for computing performance reasons these wouldn´t be desirable. If instead we allocate a project´s information through different models and have an efficient way of connecting one with another, which not only allows us to interact with our information but also implement changes efficiently and propagate these changes across all our models in a secure and manageable way. This is what distributed data models with Rhino Objects allows and what Elefront is all about.
On this Elefront course, Ramon will walk you through the whole workflow of how Elefornt works by creating a highly detailed glassing facade system, in a similar way that Elefront was used in the Morpheus Hotel by Zaha Hadid
Take Aways:Understanding the basic workflow and components of Elefront
Baking and adding attributes to geometries
Adding multiple attributes
Referencing Geometries
Advanced filtering of elements by user attributes
Mapping data into geometries
Assigning and inheriting attributes from host geometries
Automating construction drawings
Advanced detailing of parametric models
Overview
Lecture 1 What is Elefront and how it works
Lecture 2 Basic workflow and components of Elefront
Lecture 3 Baking and adding attributes to geometries
Lecture 4 Referencing geometries
Lecture 5 Advanced filtering of elements by user attributes
Lecture 6 Using Autograph to organize our definitions
Lecture 7 Mapping data on geometries
Lecture 8 Assigning and inheriting attributes from host geometries
Lecture 9 Detailing our models
Lecture 10 Materials as object attributes
Lecture 11 Automating production drawings
Lecture 12 Advanced data tree matching
Lecture 13 Advanced data tree matching part 2
Lecture 14 Creating and placing blocks


Homepage
https://www.udemy.comhttps://thinkparametric.com/courses/elefront-101-distributed-data-models-with-rhino-objects





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