Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2017_031
id	ecaade2017_031
authors	Castelo Branco, Renata and Leit?o, António
year	2017
title	Integrated Algorithmic Design - A single-script approach for multiple design tasks
doi	https://doi.org/10.52842/conf.ecaade.2017.1.729
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 729-738
summary	Many great architectural endeavors today engage in a multi software approach, as each specialty involved needs a different software, and different task required from the architect, such as 3D modeling, analysis or rendering, also benefit from the use of different tools. Combining them in the same process is not always a successful endeavor. A more effective portability mechanism is needed, and Algorithmic Design (AD) has the potential to become one. This paper explores the advantages of the algorithmic approach to the design process, and proposes a methodology capable of integrating the different tools and paradigms currently used in architecture. The methodology is based on the development of a computer program that describes not only the intended model, but also additional tasks, such as the required analysis and rendering. It takes advantage of CAD, BIM and analysis tools, with little effort when it comes to the transition between them.
keywords	Algorithmic Design; CAD; BIM; Analysis tools
series	eCAADe
email
last changed	2022/06/07 07:55

_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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