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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