Introduction to Computational Design: subsets, challenges in practice and emerging roles

de Boissieu, Aurélie

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Introduction to Computational Design: subsets, challenges in practice and emerging roles

de Boissieu, Aurélie

2022 • In Bolpagni, Marzia; Gavina, Rui; Ribeiro, Diogo (Eds.) Industry 4.0 for the Built Environment

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Keywords :

Computational Design; Parametric Design; Generative Design; Algorithmic Design; Data-Driven; Optimization; Interoperability; Superuser

Abstract :

[en] Computation-based approaches have been flourishing in the construction industry for the past years. From experimental practices to mainstream production, usage of digital tools tends to be diverse and versatile. This is especially true for Com-putational Design (CD) which encompasses multiple practices, transforming the future of the industry and its stakeholders. Through the ever-increasing speed and capacity of computers, computation ena-bles dealing with geometries and tasks which were traditionally either too time consuming or too challenging to be accomplished by human alone. However, CD is not just automating existing traditional processes or tedious tasks, it’s about shifting the way we think and design. To better understand how to unlock the opportunities of CD, this chapter dis-cusses: 1- the main subsets of CD, called parametric, generative and algorithmic design; 2 -presents CD’s different toolsets and their evolutions, and finally 3- in-terrogate how CD is integrated in practice, with its emerging roles and skillsets.

Disciplines :

Architecture

Author, co-author :

de Boissieu, Aurélie ; Université de Liège - ULiège

Language :

English

Title :

Introduction to Computational Design: subsets, challenges in practice and emerging roles

Publication date :

2022

Main work title :

Industry 4.0 for the Built Environment

Main work alternative title :

[en] Methodologies, Technologies and Skills

Editor :

Bolpagni, Marzia

Gavina, Rui

Ribeiro, Diogo

Publisher :

Springer, New York City, United States

ISBN/EAN :

978-3-030-82429-7

Peer reviewed :

Peer reviewed

Available on ORBi :

since 28 July 2021

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Scopus citations^®
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