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A detail shape grammar. Using Alberti's column system rules to evaluate the longitudinal elevation of the nave of Sant'Andrea church generation

Published online by Cambridge University Press:  03 April 2018

Pedro Filipe Coutinho Cabral D'Oliveira Quaresma
Pedro Filipe Coutinho Cabral D'Oliveira Quaresma*
Affiliation:
Universidade Lusófona de Humanidades e Tecnologias (ULHT) Laboratório Experimental de Arquitectura e Urbanismo (LEAU) from ULHT, and at the Centro de Investigação de Arquitectura, Urbanismo e Design (CIAUD), Faculdade de Arquitectura da Universidade de Lisboa, Lisboa, Portugal
*
Author for correspondence: Pedro Filipe Coutinho Cabral D'Oliveira Quaresma, E-mail: filipecq1@gmail.com
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Abstract

This paper shows the way Leon Battista Alberti treatise De Re Aedificatoria column systematization shape grammar was built, and how the longitudinal elevation of the nave of the Sant'Andrea church was designed, evidencing some steps involved in the grammar construction process, its derivation, and the partial outputs gained from the grammar evaluation. The goal of this grammar is to infer Alberti's treatise rules through a computational approach evidencing its algorithmic nature, illustrating it, and understanding the De Re Aedificatoria rules that may be applied in the generation of some parts of buildings such as the Sant'Andrea church, showing a complementary method to archaeological, bibliographical, historical ones, among others, that have been used to understand the built environment. The rules provided by the grammar may be applied to an initial insertion point to produce a complete column and to a pre-existing plan or section element of a building generating its facade. It was proved, evaluating the grammar with a simple linear regression method, to what extent the treatise influenced the design of the facade in the study.

Keywords

Albertidesign automationevaluating grammarsrule base designshape grammar
Type
Research Article
Information
AI EDAM , Volume 32 , Issue 3 , August 2018 , pp. 295 - 307
Copyright
Copyright © Cambridge University Press 2018 

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