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_id	caadria2017_054
id	caadria2017_054
authors	Leit?o, António, Castelo Branco, Renata and Cardoso, Carmo
year	2017
title	Algorithmic-Based Analysis - Design and Analysis in a Multi Back-end Generative Tool
doi	https://doi.org/10.52842/conf.caadria.2017.137
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 137-146
summary	Estimating a building's performance is part of the engineering and architecture discipline. Nowadays, this estimation is done using analysis tools. In many cases, these analysis tools require specialized building models that are simplifications of the actual models. Unfortunately, the adaptations that need to be done to an existing model are tiresome and make the architect less willing to evaluate variations of the building design. Moreover, in the case of buildings with complex shapes, the analyses tend to be less reliable. These problems also occur when algorithmic approaches are used to generate the building design, as the algorithmic script needs to be adapted to satisfy the requirements of the analysis tool, or the manual adaptation of the generated model needs to be repeated each time the script is executed. To solve these issues we propose Algorithmic-Based Analysis. This is a Generative Design method that, utilizing a single algorithmic-based representation of a building, can generate not only the traditional CAD or BIM model, but also specialized models for use in different kinds of analysis.
keywords	Generative Design; Building Performance; Analysis; Performance-based Design; Algorithmic-Based Analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

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