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Elefront 101 Distributed Data Models With Rhino Objects

Posted By: ELK1nG
Elefront 101 Distributed Data Models With Rhino Objects

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