Eduardo Costa Eduardo.Costa@uwe.ac.uk
Senior Lecturer in Computational Architecture
Implementing the Santa Marta Urban Grammar - A pedagogical tool for design computing in architecture
Costa, Eduardo; Verniz, Debora; Varasteh, Siavash; Miller, Mark; Duarte, Jose
Authors
Debora Verniz
Siavash Varasteh
Mark Miller
Jose Duarte
Abstract
We present a tool intended to enable non-expert users to apply and manipulate a shape grammar, SMUG, which encodes the urban design of informal settlements such as favelas. Such tool, the Interpreter, was developed considering that students would be its main users, and therefore we consider this grammar implementation to potentially be a multipurpose pedagogical tool since it supports conveying knowledge about urban design, shape grammars and parametric modeling using Grasshopper. This paper focuses on the development of the Interpreter and discusses the results of its use in a design studio, which can better inform subsequent iteration as well as other courses and schools.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | eCAADe / SIGraDi 2019 |
Start Date | Sep 11, 2019 |
End Date | Sep 13, 2019 |
Acceptance Date | Jun 1, 2019 |
Online Publication Date | Sep 13, 2019 |
Publication Date | Sep 13, 2019 |
Deposit Date | Apr 8, 2022 |
Volume | 2 |
Pages | 349-358 |
Book Title | Architecture in the Age of the 4th Industrial Revolution: Proceedings of the 37th eCAADe and 23rd SIGraDi Conference |
Public URL | https://uwe-repository.worktribe.com/output/9305876 |
Publisher URL | http://papers.cumincad.org/cgi-bin/works/paper/ecaadesigradi2019_146 |
You might also like
Computational design exploration of a segmented concrete shell building floor system
(2023)
Journal Article
A prototype low-carbon segmented concrete shell building floor system
(2023)
Journal Article
Enabling parametric design space exploration by non-designers
(2020)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search